Find Your Next Analytics Engineering Job
A curated list of analytics engineering job openings with details intelligently extracted by AI.
Filtering by tech: Snowflake
Clear Filter- Develop and maintain data pipelines to ingest, transform, and load data from various sources into our data warehouse.
- Build and maintain data models that support our business intelligence and analytics needs.
- Collaborate with stakeholders to understand their data requirements and provide data-driven insights.
- Implement data quality monitoring and alerting to ensure data accuracy and reliability.
- Design and implement scalable data solutions to meet the growing needs of our business.
Posted Aug 16, 2025
- Build and maintain data pipelines and ETL processes.
- Collaborate with stakeholders to understand data needs and translate them into technical solutions.
- Develop and maintain data models, ensuring data quality and consistency.
- Monitor and troubleshoot data pipeline performance.
- Implement data governance policies and procedures.
Posted Aug 15, 2025
- Develop and maintain data pipelines
- Data modeling and database design
- Implement data governance and quality standards
- Collaborate with stakeholders to understand data requirements
- Build and maintain data visualizations and dashboards
Posted Aug 15, 2025
- Data analysis and interpretation
- ETL processes
- Data visualization and dashboard creation
- Collaboration with cross-functional teams
- Data quality and integrity
Posted Aug 15, 2025
- Develop data pipelines using cloud technologies (AWS, GCP).
- Collaborate with product managers, data scientists, and other engineers.
- Apply knowledge of data modeling, data access, and data storage techniques.
- Ensure data quality and implement monitoring solutions.
- Build data products
Posted Aug 15, 2025
- Develop and maintain data pipelines
- Collaborate with data scientists and analysts
- Build data models
- Ensure data quality and accuracy
- Monitor and troubleshoot data pipelines
Posted Aug 15, 2025
- Develop and maintain data pipelines to support analytical needs.
- Collaborate with product and engineering teams to integrate data solutions.
- Apply data governance standards and ensure data quality.
- Contribute to the design and implementation of data models.
- Use analytical and data visualisation tools to provide insights.
Posted Aug 15, 2025
- Develop and maintain data pipelines and ETL processes.
- Build and maintain data models in our data warehouse.
- Collaborate with cross-functional teams to understand data needs.
- Ensure data quality and accuracy.
- Build dashboards and visualizations.
Posted Aug 15, 2025
- Data analysis and interpretation
- ETL processes
- Data visualization and reporting
- Data quality and governance
- Collaboration with stakeholders
Posted Aug 15, 2025
- Build and maintain data pipelines and ETL processes.
- Develop and maintain data models and data dictionaries.
- Collaborate with stakeholders to understand data needs and translate them into technical requirements.
- Monitor data quality and resolve data issues.
- Build dashboards and reports to track key performance indicators.
Posted Aug 15, 2025
- Data analysis and visualization to address business questions.
- Development of data pipelines using cloud-based technologies.
- Collaboration with business partners to understand data needs.
- Creation of dashboards and reports to monitor key performance indicators.
- Ensuring data quality and reliability.
Posted Aug 15, 2025
- Building data pipelines
- ETL processes
- Data modeling
- Working with stakeholders
- Understanding business requirements
Posted Aug 14, 2025
- Capacity planning
- Data analysis
- Develop data pipelines and reporting
- Collaborate with engineering teams
- Drive data-informed decisions
Posted Aug 14, 2025
- Design, build, and maintain data pipelines.
- Work closely with product managers, engineers, and analysts.
- Take ownership and be responsible for the availability and reliability of our data platform.
- Drive data quality improvements.
Posted Aug 14, 2025
- Design, build, and maintain data pipelines.
- Collaborate with stakeholders to understand data needs.
- Develop data models and ETL processes.
- Monitor and improve data quality and performance.
Posted Aug 14, 2025
- Data Engineering
- AI Solutions
- Cloud Technologies
- Stakeholder Management
- Team Leadership
Posted Aug 13, 2025
- Build and maintain data pipelines
- Develop data models
- Collaborate with stakeholders to understand data needs
- Ensure data quality and accuracy
- Automate data processes
Posted Aug 13, 2025
- Develop and maintain data pipelines.
- Build and maintain data models.
- Implement data quality monitoring.
- Collaborate with cross-functional teams.
Posted Aug 13, 2025
- Develop and maintain data models.
- Build and maintain ETL pipelines.
- Partner with stakeholders to understand data needs.
- Ensure data quality and accuracy.
- Contribute to data governance and documentation.
Posted Aug 13, 2025
- Data Analysis and Interpretation
- Data Modeling and Pipeline Development
- Collaboration with Cross-Functional Teams
- Data Quality and Integrity
- Business Intelligence and Reporting
Posted Aug 13, 2025
- Develop data pipelines using Python, SQL, and cloud-based platforms.
- Collaborate with cross-functional teams to gather data requirements.
- Implement data quality checks and monitoring.
- Design and build scalable data models.
- Support data-driven decision-making by providing insights and visualizations.
Posted Aug 13, 2025
- Develop and maintain data models, ETL pipelines, and reporting dashboards
- Collaborate with stakeholders to gather data requirements and translate them into technical specifications
- Monitor data quality and troubleshoot data-related issues
- Contribute to the development of data governance policies and procedures
Posted Aug 13, 2025
- Develop data pipelines using Python, Spark, and SQL.
- Design and implement data models in Snowflake.
- Automate data quality checks and monitoring.
- Collaborate with data scientists and business analysts.
- Build and maintain data documentation.
Posted Aug 13, 2025
- Design, build, and maintain data pipelines for PlayStation’s data warehouse.
- Collaborate with data scientists, analysts, and product managers to understand their data needs and provide solutions.
- Develop and maintain data models and ETL processes to ensure data quality and consistency.
- Implement data governance and security best practices.
- Build data visualizations and dashboards to monitor data quality and pipeline performance.
Posted Aug 13, 2025
SQL
Python
SAS
ETL tools
Data visualization tools
Cloud technologies
Snowflake
dbt
Talend
Informatica
Tableau
Power BI
AWS
Azure
GCP
- ETL processes and data pipelines
- Data analysis and problem-solving
- Collaboration with stakeholders
- Data quality and governance
- Mentoring junior analysts
Posted Aug 13, 2025
- Design and implement data models to support business needs.
- Build data pipelines for efficient data transformation and loading.
- Collaborate with stakeholders to understand data requirements.
- Develop and maintain data documentation and metadata.
- Ensure data quality and accuracy through monitoring and validation.
Posted Aug 13, 2025
- Design, develop, and maintain data pipelines and ETL workflows.
- Collaborate with cross-functional teams to understand data requirements.
- Implement data quality checks and monitoring systems.
- Optimize data models and schemas for performance and scalability.
- Build and maintain data documentation and metadata.
Posted Aug 13, 2025
- Develop and maintain our data warehouse
- Building and maintaining data pipelines
- Collaborate closely with data scientists, analysts and engineers
- Automate data quality checks
- Support our teams in using data to drive business decisions
Posted Aug 13, 2025
- Develop and maintain data pipelines
- Collaborate with stakeholders to understand data requirements
- Design and implement data models
- Ensure data quality and reliability
Posted Aug 13, 2025
- Analyze complex healthcare datasets to identify trends and opportunities.
- Build and maintain data models and ETL pipelines.
- Collaborate with stakeholders to define data requirements and deliver actionable insights.
- Develop and implement data quality monitoring and alerting systems.
Posted Aug 13, 2025
- Develop and maintain data pipelines and ETL processes
- Build and maintain data models and data warehouses
- Collaborate with stakeholders to understand data needs and translate them into technical requirements
- Ensure data quality and accuracy
- Develop and maintain documentation for data processes and systems
Posted Aug 10, 2025
- Data analysis and interpretation
- ETL pipeline development and maintenance
- Collaboration with product owners and stakeholders
- Data quality and validation
- Data modeling and schema design
Posted Aug 10, 2025
- Develop and maintain data pipelines.
- Collaborate with cross-functional teams.
- Implement data quality checks.
- Optimize data infrastructure.
- Build data models
Posted Aug 10, 2025
- Develop and maintain data pipelines for structured and unstructured data
- Design and build data models and schemas for optimal storage and retrieval
- Collaborate with cross-functional teams to understand data needs and deliver solutions
- Implement data quality monitoring and alerting
- Optimize data infrastructure for performance and scalability
Posted Aug 10, 2025
- Build and maintain data models and ETL pipelines.
- Collaborate with product managers, engineers, and other stakeholders to identify and address data needs.
- Develop and maintain data documentation and data quality monitoring processes.
- Help to define and implement our data strategy and roadmap.
- Mentor other members of the data team.
Posted Aug 10, 2025
- Design, develop, and maintain scalable data pipelines.
- Partner with business teams to understand data requirements.
- Build data models and schemas.
- Implement data quality monitoring and alerting.
- Drive data literacy and best practices.
Posted Aug 10, 2025
- Build and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.
- Develop and maintain data models and schemas that support our business requirements and ensure data quality and consistency.
- Collaborate with cross-functional teams to understand their data needs and provide data-driven insights and solutions.
- Implement and maintain data governance policies and procedures to ensure data security, privacy, and compliance.
- Monitor and troubleshoot data pipeline performance and data quality issues, and implement solutions to prevent recurrence.
Posted Aug 10, 2025
- Design, develop, and maintain scalable data pipelines using cloud-based technologies.
- Collaborate with cross-functional teams to understand data requirements and deliver data solutions.
- Implement data quality checks and monitoring to ensure data accuracy and reliability.
- Optimize data models and query performance for efficient data access and reporting.
- Develop and maintain data documentation and metadata.
Posted Aug 8, 2025
- Build, own, and maintain data pipelines and data models in our cloud data warehouse (Snowflake).
- Collaborate with stakeholders to understand their data needs and translate them into technical specifications.
- Develop and implement data quality monitoring and alerting systems.
- Mentor junior team members and promote data engineering best practices.
- Build data visualizations in Looker to enable stakeholders to self-serve their data needs.
Posted Aug 8, 2025
- Design, build, and maintain data pipelines to support data modeling, reporting, and analytics needs.
- Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
- Develop and maintain data documentation, data dictionaries, and data quality metrics.
- Monitor and troubleshoot data pipeline performance and data quality issues.
- Apply software engineering best practices such as version control, testing, and continuous integration.
Posted Aug 8, 2025
- Develop and maintain data pipelines and ETL processes.
- Design and build data models to support analytical and reporting needs.
- Collaborate with cross-functional teams to understand data requirements and deliver data-driven solutions.
- Ensure data quality and accuracy through data validation and monitoring.
- Optimize data infrastructure for performance and scalability.
Posted Aug 7, 2025
- Collaborating with cross-functional teams to define and execute data strategies that align with business goals.
- Designing, building, and maintaining scalable data infrastructure and pipelines.
- Implementing data governance and quality measures to ensure data accuracy and reliability.
- Developing and maintaining data models, ETL processes, and data warehouses.
- Staying current with industry trends and emerging technologies, and making recommendations for new technologies and approaches.
Posted Aug 7, 2025
- Build data expertise and partner with product and engineering teams to solve challenging problems.
- Design, build, and maintain data models, pipelines, and BI infrastructure.
- Develop dashboards and analyses that empower operational and strategic decision-making.
Posted Aug 7, 2025
- Data architecture and data modeling
- ETL pipeline development and maintenance
- Performance tuning of data systems
- Collaboration with data scientists and analysts
- Ensuring data quality and reliability
Posted Aug 7, 2025
- Advise our clients in the financial services industry on how to leverage data to gain a competitive edge.
- Support clients in defining their data and analytics strategy, designing their future data architecture, and implementing data solutions.
- Work with modern data technologies in the cloud (AWS, Azure, GCP) and on-premise.
- Develop data models, ETL pipelines, and data visualizations.
- Take responsibility for project modules and workstreams, and manage junior consultants.
Posted Aug 7, 2025
- Develop and maintain data pipelines and ETL processes.
- Build and maintain data models in our data warehouse.
- Collaborate with stakeholders to understand their data needs.
- Ensure data quality and accuracy.
- Automate data processes.
Posted Aug 7, 2025
- Develop and execute data strategy
- Build and maintain data models
- Design and implement ETL pipelines
- Collaborate with cross-functional teams
- Ensure data quality and governance
Posted Aug 7, 2025
- Develop and maintain data pipelines for thermal and chassis engineering data.
- Collaborate with engineers to understand data needs and translate them into technical solutions.
- Build dashboards and visualizations to monitor key performance indicators and identify trends.
- Ensure data quality and accuracy through rigorous testing and validation.
Posted Aug 7, 2025
- Data Analysis
- Data Visualization
- Consulting with business partners
- Data pipeline development
- Data modeling
Posted Aug 6, 2025
- Build, maintain, and improve data models and data pipelines.
- Collaborate with stakeholders to understand data needs and translate them into technical solutions.
- Monitor data quality and implement solutions to ensure data accuracy and reliability.
- Develop and maintain documentation for data models, pipelines, and processes.
Posted Aug 6, 2025
- Data Analysis
- Data Visualization
- Data Modeling
- Requirements Gathering
- Agile Development
Posted Aug 6, 2025
- Data visualization and dashboard creation to monitor data quality, identify trends, and provide actionable insights to stakeholders
- Collaborate with cross-functional teams to understand data requirements and develop solutions
- Build and maintain data pipelines
- Support data governance and data quality initiatives
Posted Aug 6, 2025
- Develop and maintain data pipelines.
- Collaborate with data scientists and analysts.
- Ensure data quality and reliability.
- Implement data governance policies.
- Optimize data infrastructure.
Posted Aug 6, 2025
- Develop and maintain data pipelines
- Build and maintain data models
- Collaborate with cross-functional teams
- Drive data quality and reliability
- Implement data governance policies
Posted Aug 6, 2025
- Build and maintain data pipelines
- Develop data models and schemas
- Collaborate with stakeholders to understand data needs
- Ensure data quality and accuracy
- Monitor and optimize data pipeline performance
Posted Aug 6, 2025
- Develop and maintain data pipelines to ingest, process, and transform large datasets from various sources.
- Design and implement data models and schemas to support analytical and reporting requirements.
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and deliver effective solutions.
- Implement data quality monitoring and validation processes to ensure data accuracy and reliability.
- Optimize data infrastructure for performance, scalability, and cost-efficiency.
Posted Aug 6, 2025
- Build data pipelines
- Develop data models
- Collaborate with product and engineering
- Improve data quality
- Implement data governance
Posted Aug 6, 2025
- Build data models and pipelines to support business needs.
- Collaborate with product managers, data scientists, and other stakeholders to understand data requirements.
- Design, develop, and maintain scalable data solutions.
- Optimize data pipelines for performance and reliability.
- Ensure data quality and accuracy.
Posted Aug 6, 2025
- Develop and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.
- Build and maintain data models that are scalable, reliable, and optimized for performance.
- Collaborate with data scientists, analysts, and product managers to understand their data needs and provide solutions that meet those needs.
- Implement data quality monitoring and alerting to ensure data accuracy and reliability.
- Design and implement data governance policies and procedures to ensure data security and compliance.
Posted Aug 6, 2025
- Develop and maintain data pipelines using Python and SQL.
- Collaborate with stakeholders to understand data requirements.
- Build data models and perform data transformations using dbt.
- Implement data quality checks and monitoring.
- Contribute to the design and architecture of the data platform.
Posted Aug 6, 2025
- Build and maintain data pipelines and ETL processes
- Develop data models and schemas
- Collaborate with cross-functional teams
- Ensure data quality and accuracy
- Design and implement data solutions
Posted Aug 6, 2025
- Lead a team of data and analytics engineers
- Drive data strategy and governance
- Build and maintain data pipelines
- Implement data quality and security measures
Posted Aug 6, 2025
- Data visualization and dashboard creation
- Stakeholder management and communication
- Marketing analytics and reporting
- Data analysis and insights generation
Posted Aug 6, 2025
- Build and maintain data pipelines
- Develop data models
- Collaborate with stakeholders
- Data Quality and Governance
- Performance Optimization
Posted Aug 5, 2025
- Drive data-informed decision-making and experimentation
- Build and maintain data models in our cloud data warehouse (Snowflake)
- Collaborate with cross-functional stakeholders to identify and prioritize data needs
- Build dashboards and reporting in Looker
- Apply your understanding of data to help improve existing systems and processes
Posted Aug 5, 2025
- Design, build, and maintain our data warehouse
- Develop and maintain ETL pipelines
- Work closely with stakeholders to understand their data needs
- Build dashboards and reports to track key metrics
- Ensure data quality and accuracy
Posted Aug 4, 2025
- Develop and maintain data pipelines
- Collaborate with product and engineering teams
- Ensure data quality and reliability
- Build data models and schemas
- Contribute to data strategy and best practices
Posted Aug 4, 2025
- Develop data ingestion pipelines to build a robust data foundation.
- Build data models in our warehouse (Snowflake) to support analytical and operational needs.
- Partner with cross-functional stakeholders to understand their data needs and translate them into technical specifications.
- Build dashboards and data visualizations in Looker to enable self-service data exploration.
- Collaborate with other data team members to improve our data infrastructure and processes.
Posted Aug 4, 2025
- Build data models and ETL pipelines to support our analytical and operational needs
- Partner with product managers, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions
- Monitor and maintain the health of our data infrastructure
- Document and evangelize our data assets
- Mentor other data engineers
Posted Aug 3, 2025
- Design and implement data models to support Veho's analytical and operational needs
- Build and maintain data pipelines to ingest, transform, and load data from various sources into our data warehouse
- Collaborate with cross-functional teams to understand their data requirements and provide data solutions
- Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage
- Monitor data quality and implement data quality checks to ensure data accuracy and consistency
Posted Aug 2, 2025
- Build data pipelines
- Develop data models
- Work with stakeholders to define data requirements
- Ensure data quality and accuracy
Posted Aug 2, 2025
- Build data pipelines that transform raw data into actionable insights
- Develop reporting and visualization tools to monitor key business metrics
- Collaborate with cross-functional teams to understand data needs and deliver solutions
- Apply data modeling techniques to ensure data quality and consistency
Posted Aug 2, 2025
- Design, build, and maintain data pipelines and data models.
- Collaborate with cross-functional teams to understand their data needs.
- Build data visualizations and dashboards.
- Automate data quality checks and alerts.
- Mentor other engineers and promote best practices.
Posted Aug 2, 2025
- Develop and maintain data pipelines.
- Design and implement data models.
- Collaborate with stakeholders to understand data needs.
- Ensure data quality and accuracy.
- Optimize data infrastructure for performance.
Posted Aug 2, 2025
- Building and maintaining data pipelines to support decision-making for Factory operations.
- Developing data models and dashboards to track key performance indicators (KPIs) and identify areas for improvement.
- Collaborating with cross-functional teams, including Factory operations, engineering, and product, to understand their data needs and provide actionable insights.
Posted Aug 1, 2025
- Data analysis and modeling to solve business problems
- Translate business needs into analytical questions and build end-to-end analytical solutions
- Communicate findings and recommendations to stakeholders
- Develop and maintain data pipelines and infrastructure
Posted Aug 1, 2025
- Develop and execute a roadmap for automating data quality checks and anomaly detection across our data pipelines.
- Build and maintain data pipelines that ingest, transform, and load data from various sources into our data warehouse.
- Partner with data scientists, analysts, and product managers to understand their data needs and provide them with the data they need to make informed decisions.
- Implement and maintain data governance policies and procedures to ensure data quality, consistency, and security.
Posted Aug 1, 2025
- Building and maintaining data pipelines.
- Implementing data models and data warehouse solutions.
- Partnering with business stakeholders to understand data needs.
- Ensuring data quality and accuracy.
- Contributing to the development of data governance policies.
Posted Aug 1, 2025
- Develop and maintain data pipelines
- Ensure data quality and reliability
- Collaborate with product and engineering teams
- Build data models and reporting solutions
Posted Aug 1, 2025
- Design, develop, and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
- Build and maintain data models and schemas that support business intelligence and analytics initiatives.
- Develop and implement data quality monitoring and alerting systems to ensure data accuracy and reliability.
- Optimize data warehouse performance through query optimization, indexing, and partitioning strategies.
Posted Aug 1, 2025
- Partner with product, data science, and engineering teams to deeply understand their data needs and translate them into scalable and reliable data models.
- Develop and maintain data pipelines using technologies like Spark, Flink, and Airflow.
- Build data visualizations and dashboards using tools like Tableau and Looker to monitor data quality and identify trends.
- Collaborate with other data engineers and data scientists to improve our data infrastructure and tooling.
- Mentor junior data engineers and share your knowledge with the team.
Posted Aug 1, 2025
- Develop and maintain data pipelines and ETL processes
- Design and implement data models and data warehouses
- Collaborate with stakeholders to understand data requirements
- Ensure data quality and accuracy
- Monitor and troubleshoot data pipeline performance
Posted Aug 1, 2025
- Lead a team of data scientists and analytics engineers focused on experimentation and digital analytics.
- Drive the development and execution of A/B testing strategies to optimize digital experiences.
- Collaborate with product managers, designers, and engineers to identify opportunities for experimentation and improvement.
- Build and maintain data pipelines and infrastructure to support experimentation and reporting.
- Communicate insights and recommendations to stakeholders through clear and compelling visualizations and presentations.
Posted Aug 1, 2025
- Data Architecture
- Stakeholder Management
- Data Governance
- Cloud Data Warehouse
- Data Modeling
Posted Aug 1, 2025
- Build and maintain data pipelines
- Design and develop data models
- Collaborate with stakeholders to understand data needs
- Monitor data quality and resolve data issues
- Implement data governance best practices
Posted Aug 1, 2025
- Build and maintain data pipelines
- Develop and maintain data models
- Partner with product and engineering teams
- Ensure data quality
- Contribute to data governance
Posted Aug 1, 2025
- Data Architecture
- Data Modeling
- ETL/ELT Development
- Cloud Data Platform Implementation
- Data Governance
Posted Aug 1, 2025
- Develop and maintain data pipelines to ingest, transform, and load data.
- Build data models and schemas to support data analysis and reporting.
- Collaborate with data scientists, analysts, and engineers to understand data needs and deliver solutions.
- Implement data quality checks and monitoring to ensure data accuracy and reliability.
- Design and implement data governance policies and procedures.
Posted Aug 1, 2025
- Building data pipelines to ingest and process large datasets.
- Developing data models and schemas for optimal storage and retrieval.
- Collaborating with stakeholders to understand data requirements.
- Implementing data quality checks and monitoring systems.
- Optimizing data infrastructure for performance and scalability.
Posted Aug 1, 2025
- Build and maintain data pipelines.
- Develop data models.
- Work closely with product, engineering, and business teams.
- Contribute to data-informed decision-making.
- Monitor data quality and implement improvements.
Posted Aug 1, 2025
- Data Modeling
- Data Governance
- ETL pipeline development
- Stakeholder collaboration
Posted Aug 1, 2025
- Build and maintain data pipelines.
- Develop and maintain data models.
- Implement data quality monitoring.
- Collaborate with stakeholders to understand data needs.
Posted Aug 1, 2025
- Develop and maintain data pipelines.
- Build data models and ETL processes.
- Design and implement data analytics solutions.
- Collaborate with stakeholders to understand data needs.
- Ensure data quality and accuracy.
Posted Aug 1, 2025
- Data Pipeline Development
- Cloud Infrastructure Management
- Data Modeling and Schema Design
- Performance Optimization
- Collaboration with Data Scientists and Analysts
Posted Jul 31, 2025
- Develop and maintain data pipelines.
- Build and maintain data models.
- Collaborate with stakeholders to understand data needs.
- Ensure data quality and accuracy.
Posted Jul 31, 2025
- Develop and maintain data pipelines
- Build data models
- Collaborate with stakeholders to understand data needs
- Implement data quality monitoring
- Optimize data infrastructure
Posted Jul 31, 2025
- Build data pipelines to support reporting and analytics.
- Provide support and documentation to users of the data platform.
- Collaborate with cross-functional teams to understand data requirements.
- Monitor data quality and identify areas for improvement.
Posted Jul 31, 2025
- Develop and maintain data models and data pipelines in our cloud data warehouse.
- Work closely with business stakeholders to understand their data needs and translate them into technical requirements.
- Collaborate with other engineers and data scientists to build and deploy data-driven solutions.
- Design, build, and maintain our Looker reporting environment.
- Ensure data quality and accuracy by implementing data validation and testing procedures.
Posted Jul 31, 2025
- Design, develop, test, and maintain scalable data pipelines.
- Build data expertise and partner with product managers and data scientists.
- Implement monitoring and alerting to ensure data reliability.
- Collaborate with other engineers to improve our data platform.
Posted Jul 31, 2025
- Develop and maintain data pipelines using Python and SQL.
- Design and implement data models in Snowflake.
- Build dashboards and visualizations in Looker.
- Collaborate with stakeholders to understand data needs.
- Automate data quality checks and monitoring.
Posted Jul 31, 2025
- Build and maintain data pipelines
- Develop and maintain data models
- Collaborate with stakeholders
- Data visualization and dashboarding
Posted Jul 31, 2025
- Develop and maintain data pipelines.
- Build data models and schemas in cloud data warehouse.
- Collaborate with other teams to understand data needs.
- Monitor and troubleshoot data pipeline performance.
- Implement data quality checks and monitoring.
Posted Jul 30, 2025
- Build and maintain data pipelines
- Design and implement data models
- Collaborate with stakeholders to understand data needs
- Ensure data quality and accuracy
- Drive the adoption of new data technologies
Posted Jul 30, 2025
- Drive the roadmap and execution for our data analytics infrastructure
- Build and maintain data pipelines to ingest data from various sources
- Develop and maintain data models and BI dashboards
- Collaborate with cross-functional teams
- Ensure data quality and accuracy
Posted Jul 30, 2025
- Build and maintain data pipelines to ingest, transform, and load data from various sources into our data warehouse.
- Design and implement data models that support our business requirements and enable efficient data analysis.
- Develop and maintain data quality monitoring and alerting systems to ensure data accuracy and reliability.
- Collaborate with cross-functional teams to understand their data needs and provide data-driven solutions.
- Automate data processes and workflows to improve efficiency and scalability.
Posted Jul 30, 2025
- Develop and maintain data pipelines and ETL processes.
- Design and implement data models and data warehouses.
- Collaborate with stakeholders to understand data needs and translate them into technical solutions.
- Ensure data quality and accuracy through data validation and testing.
- Utilize cloud-based data platforms and services.
Posted Jul 30, 2025
- Develop data models and ETL pipelines to support business needs.
- Collaborate with data engineers and analysts to ensure data quality and accessibility.
- Design and implement data solutions using cloud-based technologies.
- Optimize data infrastructure for performance and scalability.
Posted Jul 30, 2025
- Develop and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.
- Build and maintain data models that support our business needs and enable self-service analytics.
- Collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data solutions.
- Develop and maintain documentation for data pipelines, data models, and data quality standards.
Posted Jul 30, 2025
- Develop data pipelines for data ingestion, transformation, and aggregation in a cloud environment (GCP preferred).
- Design and develop data models to support analytical and reporting needs.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Implement data quality checks and monitoring to ensure data accuracy and reliability.
- Optimize data pipelines and queries for performance and scalability.
Posted Jul 30, 2025
- Develop data products and pipelines to empower data-driven decision-making across the company.
- Partner with cross-functional teams to understand their data needs and translate them into technical solutions.
- Design, build, and maintain scalable and reliable data infrastructure.
- Ensure data quality and accuracy through rigorous testing and monitoring.
- Mentor junior engineers and contribute to the team's knowledge sharing.
Posted Jul 30, 2025
- Design, build, and maintain data pipelines and data models in our data warehouse (Snowflake)
- Collaborate with product managers, data scientists, and analysts to understand their data needs and translate them into technical solutions
- Develop and maintain data quality monitoring and alerting systems to ensure data accuracy and reliability
- Help improve our data infrastructure by identifying opportunities for automation, optimization, and standardization
- Contribute to our team's knowledge base by documenting best practices, creating training materials, and conducting knowledge sharing sessions
Posted Jul 30, 2025
IT Data Analytics Engineer I/II/III or Senior
Tri-State Generation and Transmission Association Westminster, CO
- Develop and maintain data pipelines and ETL processes.
- Design, develop, and maintain data models.
- Collaborate with business users to gather requirements and translate them into technical specifications.
- Perform data analysis and quality assurance to ensure data accuracy and integrity.
- Develop and maintain documentation for data processes and systems.
Posted Jul 29, 2025
- Develop data pipelines using SQL and Python to ingest, transform, and load data into the data warehouse.
- Develop data models and schemas in the data warehouse to support business requirements.
- Develop dashboards and visualizations using BI tools such as Tableau to provide insights to business users.
- Collaborate with other engineers, data scientists, and business users to understand data requirements and develop solutions.
- Participate in code reviews and contribute to the development of coding standards and best practices.
Posted Jul 29, 2025
- Develop and maintain data pipelines and ETL processes.
- Design and implement data models and data warehouses.
- Collaborate with stakeholders to understand data requirements.
- Ensure data quality and accuracy.
- Utilize cloud-based data platforms and tools.
Posted Jul 29, 2025
- Design, develop, and support data pipelines and data models.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Apply data governance policies and ensure data quality.
- Build scalable and reliable data solutions using cloud technologies.
- Drive innovation in data engineering practices.
Posted Jul 29, 2025
- Develop and maintain data pipelines for student experience reporting.
- Design and implement data models in the data warehouse.
- Collaborate with stakeholders to understand data needs and translate them into technical solutions.
- Build dashboards and visualisations using BI tools to communicate insights.
- Ensure data quality and accuracy through data validation and testing.
Posted Jul 29, 2025
- Develop and maintain data models in Snowflake using dbt.
- Build and maintain Looker dashboards and reports.
- Collaborate with stakeholders to understand data needs and translate them into technical solutions.
- Ensure data quality and accuracy through monitoring and validation.
- Optimize data pipelines for performance and scalability.
Posted Jul 29, 2025
- Design, develop, and maintain data pipelines and ETL workflows to ingest, transform, and load data from various sources into our data warehouse.
- Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and translate them into technical solutions.
- Build and maintain data models and data dictionaries to ensure data consistency and quality.
- Develop and maintain data quality monitoring and alerting systems to identify and resolve data issues.
- Stay up-to-date with the latest trends and technologies in data engineering and advanced analytics.
Posted Jul 28, 2025
- Develop and maintain data pipelines for research and clinical data
- Collaborate with data scientists and researchers to understand data needs
- Optimize data models and data warehouse performance
- Implement data quality checks and monitoring
- Build data visualizations and dashboards
Posted Jul 28, 2025
- Build and maintain TheyDo’s data warehouse and data models
- Build and maintain data pipelines to ingest data from various sources
- Work closely with the product and engineering teams to understand their data needs
- Develop and maintain dashboards and reports to track key metrics
- Help TheyDo become a truly data-driven organization
Posted Jul 28, 2025
- Develop and maintain data pipelines.
- Collaborate with data scientists and business stakeholders.
- Ensure data quality and reliability.
- Design and implement data models.
Posted Jul 27, 2025
- Develop and maintain data pipelines using Fivetran and dbt
- Create and maintain data models in Snowflake
- Build dashboards and reports in Looker
- Collaborate with stakeholders to understand data needs
- Ensure data quality and accuracy
Posted Jul 27, 2025
- Develop and maintain data pipelines.
- Design and implement data models.
- Collaborate with stakeholders to understand data needs.
- Ensure data quality and accuracy.
- Automate data processes.
Posted Jul 27, 2025
- Build and lead a team of analytics engineers
- Partnering with data scientists, product managers, and engineers to understand data needs
- Develop and maintain data models in our data warehouse (Snowflake)
- Build data pipelines using tools like Fivetran and dbt
- Help define Zocdoc’s data strategy
Posted Jul 27, 2025
- Design, build, and maintain scalable data pipelines.
- Develop and maintain data models and data dictionaries.
- Collaborate with cross-functional teams.
- Ensure data quality and accuracy.
- Contribute to data governance and best practices.
Posted Jul 27, 2025
- Develop and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.
- Design, build, and maintain scalable and reliable data models and data warehouses to support our business needs.
- Collaborate with cross-functional teams to understand their data needs and provide data-driven solutions.
- Develop and maintain data quality monitoring and alerting systems to ensure data accuracy and reliability.
- Implement data governance policies and procedures to ensure data security and compliance.
Posted Jul 26, 2025
- Build data pipelines that ingest, transform, and load data from a variety of sources into our data warehouse.
- Design and develop data models that are scalable, maintainable, and optimized for performance.
- Collaborate with cross-functional teams to understand their data needs and translate them into technical requirements.
- Implement data quality monitoring and alerting to ensure data accuracy and reliability.
- Develop and maintain documentation for data pipelines, data models, and data dictionaries.
Posted Jul 26, 2025
- Build and maintain data pipelines and ETL processes.
- Develop and maintain data models in our data warehouse.
- Collaborate with stakeholders to understand data needs and translate them into technical requirements.
- Build dashboards and visualizations to communicate data insights.
Posted Jul 26, 2025
- Develop and maintain data pipelines using tools like dbt, ensuring data quality and reliability.
- Collaborate with data scientists and analysts to understand data needs and translate them into technical solutions.
- Build and maintain data models in our data warehouse (Snowflake) to support analytical needs.
- Monitor and troubleshoot data pipeline performance, identifying and resolving issues promptly.
Posted Jul 26, 2025
- Develop and maintain data pipelines using tools like dbt and Python.
- Design and build data models in cloud data warehouses such as Snowflake.
- Collaborate with stakeholders to gather requirements and translate them into technical solutions.
- Implement data quality checks and monitoring to ensure data accuracy and reliability.
Posted Jul 25, 2025
- Build data pipelines and data models for business intelligence
- Develop and maintain data visualizations and dashboards
- Collaborate with business stakeholders to understand data needs
- Ensure data quality and accuracy
Posted Jul 25, 2025
- Develop and maintain data pipelines to ingest, transform, and load data into the data warehouse.
- Collaborate with data scientists and analysts to understand their data needs and provide solutions.
- Implement data quality checks and monitoring to ensure data accuracy and reliability.
- Design, develop, and maintain data models and schemas for the data warehouse.
- Optimize data warehouse performance and scalability.
Posted Jul 25, 2025
- Design and develop data models optimized for analytics within our data warehouse (Snowflake).
- Build and maintain data pipelines using Airflow, dbt, and Python.
- Partner with business stakeholders to understand their data needs and translate them into technical solutions.
- Implement data quality monitoring and alerting to ensure data accuracy and reliability.
Posted Jul 25, 2025
- Develop and maintain data models and pipelines to enable data-driven decision-making.
- Collaborate with cross-functional teams to understand data needs and translate them into technical solutions.
- Build and maintain data documentation, data dictionaries, and data lineage to ensure data quality and accessibility.
- Optimize data pipelines and data models for performance, scalability, and reliability.
Posted Jul 24, 2025
- Build data models to support new business initiatives and product launches.
- Create and maintain Looker dashboards to track key performance indicators (KPIs) and inform business decisions.
- Collaborate with cross-functional teams to understand their data needs and provide data-driven solutions.
- Develop and maintain data pipelines to ingest, transform, and load data from various sources into our data warehouse.
- Ensure data quality and accuracy by implementing data validation and monitoring processes.
Posted Jul 24, 2025
- Design, develop, and maintain data pipelines using tools like dbt and Airflow to ensure efficient data transformation and loading.
- Collaborate with cross-functional teams to understand data requirements and translate them into scalable and reliable data solutions.
- Implement data quality checks and monitoring systems to ensure data accuracy and consistency.
- Optimize data warehouse performance through query tuning, indexing, and partitioning strategies.
- Contribute to the development of data governance policies and standards to ensure data security and compliance.
Posted Jul 24, 2025
- Develop data pipelines using SQL and Python to support data ingestion and transformation.
- Utilize cloud platforms (AWS/GCP) for scalable data warehousing and processing.
- Implement data quality monitoring and alerting to ensure data accuracy and reliability.
- Collaborate with product and business teams to define and implement analytics solutions.
- Design and develop dashboards and reports using BI tools to visualize key metrics and insights.
Posted Jul 24, 2025
- Develop data models and ETL pipelines in support of business intelligence and data science use cases.
- Partner with product managers, data scientists, and business stakeholders to understand data needs and deliver scalable solutions.
- Help define Handshake’s data governance strategy.
- Build tools to improve data quality and automate data validation.
Posted Jul 24, 2025
- Build and maintain data pipelines
- Develop data models
- Collaborate with stakeholders
- Drive data quality and reliability
Posted Jul 24, 2025
- Build data pipelines to ingest data from various sources into the cloud data warehouse.
- Develop data models and transformations using dbt to support business requirements.
- Collaborate with stakeholders to understand data needs and translate them into technical solutions.
- Implement data quality checks and monitoring to ensure data accuracy and reliability.
- Optimize data pipelines and queries for performance and scalability.
Posted Jul 24, 2025
- Build and maintain data pipelines and ETL processes.
- Develop and maintain data models.
- Collaborate with stakeholders to understand data needs.
- Ensure data quality and accuracy.
- Design and implement data solutions.
Posted Jul 23, 2025
- Design, build, and maintain data pipelines using Python, SQL, and Airflow.
- Develop data models and schemas in Snowflake.
- Collaborate with data scientists and business analysts to understand data requirements.
- Implement data quality checks and monitoring.
- Optimize data pipelines for performance and scalability.
Posted Jul 23, 2025
- Build and maintain data models in our data warehouse using dbt
- Build dashboards and visualizations in Looker
- Write complex SQL queries to transform data
- Collaborate with product managers, engineers, and customer success to understand data needs
Posted Jul 23, 2025
- Develop and maintain data models, ETL pipelines, and data visualizations.
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
- Ensure data quality and accuracy through data validation and testing.
- Optimize data infrastructure for performance and scalability.
Posted Jul 23, 2025
- Develop and maintain data pipelines and data models.
- Collaborate with stakeholders to understand data requirements.
- Ensure data quality and consistency.
- Design and implement data solutions using cloud technologies.
- Optimize data infrastructure for performance and scalability.
Posted Jul 23, 2025
- Build and maintain data pipelines for analytics and machine learning.
- Develop data models in our data warehouse (Snowflake) to support internal and external stakeholders.
- Help build Pano AI's data architecture, balancing performance, cost, and maintainability.
- Collaborate with engineers, product managers, and other stakeholders to understand their data needs and deliver high-quality data products.
Posted Jul 23, 2025
- Develop and maintain data models, pipelines, and BI dashboards.
- Collaborate with stakeholders to understand data needs and translate them into technical solutions.
- Build and maintain data pipelines using tools like Airflow and dbt.
- Monitor data quality and implement solutions to ensure data accuracy and reliability.
Posted Jul 23, 2025
- Develop and maintain data pipelines using Airflow.
- Design, build, and maintain data models in Snowflake.
- Collaborate with data scientists and business stakeholders.
- Ensure data quality and reliability.
- Implement data governance best practices.
Posted Jul 23, 2025
- Data lake ecosystem design and implementation
- Data governance and security
- ETL pipeline development and maintenance
- Collaboration with stakeholders to understand data needs
- Performance optimization of data systems
Posted Jul 23, 2025
- Data collection, integration, and modeling from manufacturing operations data sources
- Develop and maintain data pipelines using cloud-based data engineering tools
- Collaborate with cross-functional teams to define data requirements and deliver data-driven solutions
- Develop data visualizations and dashboards to monitor key performance indicators (KPIs) and identify areas for improvement
- Ensure data quality and accuracy through data validation and testing
Posted Jul 23, 2025
- Build and maintain data pipelines and data models in our cloud data warehouse
- Collaborate with data scientists, analysts and engineers to understand their data needs and translate them into technical solutions
- Automate data quality checks and monitoring to ensure data accuracy and reliability
- Contribute to the development of our data engineering standards and best practices
Posted Jul 23, 2025
- Design, develop, and maintain data pipelines using cloud-based technologies to support data transformation, data structures, metadata, dependency and workload management.
- Develop and implement data models, schemas, and ETL processes to support data warehousing and business intelligence needs.
- Ensure data quality and integrity by implementing data validation rules, monitoring data pipelines, and resolving data issues.
- Collaborate with cross-functional teams to understand data requirements and provide data solutions that meet business needs.
- Stay current with emerging data technologies and trends and make recommendations for new technologies and approaches to improve data management and analytics.
Posted Jul 22, 2025
- Analyze data to identify trends and insights related to customer behavior, product performance, and market opportunities.
- Develop and maintain data models, dashboards, and reports using Looker and other BI tools.
- Collaborate with cross-functional teams to define data requirements and deliver actionable insights.
- Ensure data quality and accuracy through rigorous testing and validation processes.
- Communicate findings and recommendations to stakeholders in a clear and concise manner.
Posted Jul 22, 2025
- Design, develop, and maintain data pipelines using dbt
- Build Looker dashboards and reports to monitor data quality and provide insights to stakeholders
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
- Develop and maintain data models in Snowflake
- Implement data quality checks and monitoring to ensure data accuracy and reliability
Posted Jul 22, 2025
- Data analysis and problem-solving
- Data visualization and presentation
- Collaboration with cross-functional teams
- Data manipulation and transformation
- Data quality and governance
Posted Jul 22, 2025
- Develop and maintain data pipelines
- Design and build data models
- Collaborate with stakeholders to understand data needs
- Ensure data quality and reliability
Posted Jul 22, 2025
- Data Pipelines: Design, develop, and maintain robust data pipelines.
- Data Modeling: Create and optimize data models.
- Stakeholder Collaboration: Work closely with stakeholders to understand their requirements.
- BI Solutions: Develop insightful BI solutions and reporting dashboards.
- Data Quality: Ensure data accuracy and reliability.
Posted Jul 22, 2025
- Design, develop, and maintain scalable data pipelines using Snowflake, dbt, and Python.
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
- Build and maintain data models and transformations to support business intelligence and analytics.
- Monitor data quality and performance, identifying and resolving issues proactively.
- Contribute to the development of data engineering best practices and standards.
Posted Jul 21, 2025
- Develop, implement, and maintain data pipelines using various tools and technologies.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Apply data mining and machine learning techniques to extract insights and develop predictive models.
- Ensure data quality and integrity by implementing data validation and monitoring processes.
Posted Jul 21, 2025
- Build and maintain data pipelines using Python and SQL.
- Design and develop dashboards and visualizations in Looker.
- Collaborate with stakeholders to define key metrics and reporting needs.
- Ensure data quality and accuracy through testing and validation.
- Automate data processes and improve efficiency.
Posted Jul 21, 2025
- Design, develop, and maintain data pipelines using cloud-based technologies.
- Collaborate with data scientists and analysts to understand data requirements.
- Implement data quality checks and monitoring to ensure data accuracy and reliability.
- Build and maintain data documentation and metadata.
- Optimize data pipelines for performance and scalability.
Posted Jul 21, 2025
- Design, develop, and maintain data models and ETL pipelines.
- Collaborate with cross-functional teams to understand data requirements.
- Monitor and improve data quality and performance.
- Implement data governance and security best practices.
Posted Jul 21, 2025
- Build data pipelines to scale data collection and processing
- Develop data models and schemas in our data warehouse
- Collaborate with data scientists and analysts to empower data-driven decision-making
- Implement data quality checks and monitoring
- Automate data integration and ETL processes
Posted Jul 21, 2025
- Build data expertise and own data quality for allocated tables.
- Collaborate with data architects and other data professionals to implement effective data strategies, models and solutions.
- Work with business and product teams to understand data needs and provide solutions.
- Design, develop, and maintain scalable data pipelines using cloud-based data warehousing solutions.
- Implement data quality checks and monitoring to ensure data accuracy and reliability.
Posted Jul 21, 2025
- Develop and maintain data pipelines
- Work with product and engineering teams to understand data needs
- Implement data quality checks and monitoring
- Build data models and dashboards
- Collaborate with stakeholders to define key metrics
Posted Jul 21, 2025
- Data pipeline development and maintenance
- Data modeling and schema design
- Collaboration with stakeholders to understand data needs
- Performance optimization of data infrastructure
- Data quality monitoring and improvement
Posted Jul 21, 2025
- Financial Data Analysis
- Data Modeling
- ETL Processes
- Stakeholder Communication
- Automation
Posted Jul 20, 2025
- Data governance
- Data quality
- Metadata management
- Data catalog
- Data lineage
Posted Jul 20, 2025
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Posted Jul 18, 2025