Find Your Next Analytics Engineering Job
A curated list of analytics engineering job openings with details intelligently extracted by AI.
Filtering by tech: GCP
Clear Filter- Data modeling
- Data architecture
- ETL processes
- Data warehousing solutions
- Collaboration with stakeholders
Posted Aug 16, 2025
- Cloud infrastructure
- Automation
- Security vulnerability management
- Incident response
- Disaster recovery
Posted Aug 16, 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
- Data analysis and interpretation
- ETL processes
- Data visualization and reporting
- Data quality and governance
- Collaboration with stakeholders
Posted Aug 15, 2025
- Capacity planning
- Data analysis
- Develop data pipelines and reporting
- Collaborate with engineering teams
- Drive data-informed decisions
Posted Aug 14, 2025
- Data Engineering
- AI Solutions
- Cloud Technologies
- Stakeholder Management
- Team Leadership
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
- Design, build, and maintain data pipelines using Airflow, dbt, and BigQuery.
- Develop and maintain Looker dashboards and reports.
- Collaborate with data scientists, analysts, and engineers to understand data needs.
- Implement data quality monitoring and alerting.
- Contribute to data modeling and schema design.
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
- Building and maintaining data pipelines
- Designing and implementing data models
- Collaborating with engineering and product teams
- Ensuring data quality and reliability
Posted Aug 13, 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, 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 using Airflow, dbt, and BigQuery.
- Design and implement data models to support analytical and reporting needs.
- Collaborate with cross-functional teams to understand data requirements and deliver data solutions.
- Build dashboards and visualizations using Looker to monitor data quality and business performance.
Posted Aug 7, 2025
- Data analysis and modeling to improve data center hardware quality, reliability, and operations.
- Develop metrics and dashboards to monitor and drive improvements in hardware performance.
- Collaborate with cross-functional teams (hardware engineering, supply chain, operations) to identify and address data-driven opportunities.
- Build data pipelines and infrastructure to support data analysis and reporting.
- Apply statistical methods and machine learning to predict and prevent hardware failures.
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
- Building data pipelines and data models to support analytical needs.
- Collaborating with product managers, data scientists, and engineers.
- Maintaining and improving existing data infrastructure.
- Implementing data quality monitoring and alerting.
- Using analytics to understand user behavior and improve product features.
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 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
- 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 to ingest and transform data from various sources into our data warehouse.
- Develop data models that are intuitive and insightful for end-users.
- Collaborate with cross-functional teams to understand their data needs and translate them into technical solutions.
- Design, build, and maintain Looker dashboards and reports that provide insights into acquisition performance.
Posted Aug 5, 2025
- Develop and maintain data pipelines
- Design and implement data models
- Collaborate with stakeholders to understand data requirements
- Ensure data quality and reliability
- Optimize data infrastructure for performance
Posted Aug 4, 2025
- Build data pipelines
- Develop data models
- Work with stakeholders to define data requirements
- Ensure data quality and accuracy
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
- 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
- Data Architecture
- Data Modeling
- ETL/ELT Development
- Cloud Data Platform Implementation
- Data Governance
Posted Aug 1, 2025
- Data Modeling
- Data Governance
- ETL pipeline development
- Stakeholder collaboration
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
- 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 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
- 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
- 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 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
- 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
- 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
- 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 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
- 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
- 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
- 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
- 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 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
- 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
- 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
- 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
- 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
Posted Jul 19, 2025
Posted Jul 18, 2025