Find Your Next Analytics Engineering Job
A curated list of analytics engineering job openings with details intelligently extracted by AI.
Filtering by tech: Python
Clear Filter- 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
- Data lake development and management
- Building data pipelines
- Data modeling
- Collaboration with stakeholders
- Data quality and governance
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 for ingesting data from various sources into our Data Warehouse.
- Build data models in our Data Warehouse that support analytical and operational use cases.
- Collaborate with product managers, data scientists, and other stakeholders to understand their data needs and translate them into technical requirements.
- Develop and maintain Looker dashboards and reports that provide insights into our business.
- Continuously improve our data infrastructure and processes to ensure data quality, reliability, and scalability.
Posted Jul 30, 2025
- Design, develop, and maintain data pipelines and ETL processes.
- Build and maintain data models, schemas, and dictionaries.
- Collaborate with stakeholders to understand data needs and translate them into technical requirements.
- Ensure data quality and integrity through monitoring, validation, and testing.
- Contribute to the development of data governance policies and procedures.
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
- Lead the design, development, and implementation of complex data solutions.
- Provide technical leadership and guidance to a team of engineers.
- Ensure data quality, security, and compliance with regulatory requirements.
- Collaborate with stakeholders to understand business needs and translate them into technical requirements.
- Drive innovation and adoption of new technologies and methodologies.
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
- Lead a team of Analytics Engineers that partners with the Ads business to drive data-informed decision-making.
- Design, build, and maintain data models, pipelines, and dashboards to support the Ads business.
- Collaborate with cross-functional teams of Data Scientists, Product Managers, and Engineers to identify and prioritize opportunities to improve the Ads business.
- Communicate insights and recommendations to stakeholders at all levels of the 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
- Build and maintain data pipelines
- Collaborate with product and engineering teams
- Develop Looker dashboards and visualizations
- Design and implement data models
- Ensure data quality and accuracy
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
- Develop and maintain scalable data pipelines using AWS services.
- Collaborate with data scientists and business stakeholders to understand data requirements.
- Implement data quality checks and monitoring to ensure data accuracy and reliability.
- Design and build data models for optimal storage and retrieval.
- Automate data integration and ETL processes.
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
- Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, etc., that will support our and partner teams’ analytical and business needs.
- Use data to develop insights that guide the strategy and tactics of the organization.
- Interface with business customers, gathering requirements and delivering complete reporting solutions.
- Analyze large datasets, identify trends, and translate data into actionable insights.
- Collaborate with data engineers to improve data quality and availability.
Posted Jul 25, 2025
- Design, develop, and maintain data pipelines to ingest and transform data from various sources into our data warehouse.
- Build and maintain data models that are scalable, reliable, and well-documented.
- Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide solutions.
- Implement data quality monitoring and alerting to ensure data accuracy and reliability.
- Optimize data pipelines and queries for performance and cost efficiency.
Posted Jul 24, 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 and maintain data models using dbt.
- Build and maintain data pipelines to ingest data from various sources into our data warehouse.
- Collaborate with stakeholders to understand their data needs and translate them into technical requirements.
- Design and implement data visualizations and dashboards using Looker.
- Ensure data quality and accuracy by implementing data validation and monitoring processes.
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
- Design, develop, and maintain scalable and reliable data pipelines that ingest, transform, and load data from various sources into our data warehouse.
- Implement data quality checks and monitoring to ensure data accuracy and consistency.
- Collaborate with data scientists, analysts, and product managers to understand their data needs and provide solutions.
- Develop and maintain data models that meet the evolving needs of the business.
- Automate data processes to improve efficiency and reduce manual effort.
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
- Develop and maintain data pipelines for pricing optimization.
- Collaborate with data scientists and business stakeholders.
- Ensure data quality and reliability.
- Apply analytics to improve pricing strategies.
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 our data warehouse using BigQuery, dbt, and Python.
- Work closely with data analysts and other stakeholders to understand their data needs and translate them into technical solutions.
- Implement data quality monitoring and alerting to ensure data accuracy and reliability.
- Collaborate with other data engineers to improve our data infrastructure and processes.
- Document our data warehouse and data pipelines.
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 and ETL workflows.
- Collaborate with data scientists and analysts to understand their data requirements.
- Monitor and troubleshoot data pipeline performance and data quality.
- Implement data governance and data security best practices.
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
- Develop and maintain scalable data pipelines using AWS services.
- Design and develop BI dashboards and reports to provide actionable insights.
- Collaborate with stakeholders to understand data requirements and deliver data solutions.
- Apply data modeling techniques to create efficient and effective data structures.
Posted Jul 22, 2025
- Manage and mentor a team of software and data engineers.
- Design, develop, and maintain data pipelines for site analytics.
- Collaborate with product managers, analysts, and other stakeholders.
- Ensure data quality and reliability.
- Drive innovation in data engineering practices.
Posted Jul 22, 2025
- Develop and maintain data pipelines and ETL processes.
- Collaborate with business partners to understand data requirements.
- Design and implement data models and reporting solutions.
- Ensure data quality and accuracy.
- Utilize analytical and data visualization tools
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
- Leading and mentoring a team of Analytics Engineers.
- Driving best practices in data modeling, ETL processes, and data quality.
- Collaborating with cross-functional teams to understand data needs and translate them into technical solutions.
- Developing and maintaining data pipelines and infrastructure.
- Ensuring data is accurate, reliable, and accessible for analysis and decision-making.
Posted Jul 20, 2025
- Financial Data Analysis
- Data Modeling
- ETL Processes
- Stakeholder Communication
- Automation
Posted Jul 20, 2025
- Adobe Analytics implementation
- JavaScript
- Data Layer
- Tag Management Systems
- Consulting
Posted Jul 20, 2025
- Data governance
- Data quality
- Metadata management
- Data catalog
- Data lineage
Posted Jul 20, 2025
- Data Modeling
- ETL pipelines
- Data Infrastructure
- Stakeholder communication
Posted Jul 20, 2025
Posted Jul 19, 2025
Posted Jul 19, 2025
Posted Jul 19, 2025
Posted Jul 19, 2025
Posted Jul 19, 2025
Posted Jul 18, 2025
Posted Jul 18, 2025
Posted Jul 18, 2025