Find Your Next Analytics Engineering Job
A curated list of analytics engineering job openings with details intelligently extracted by AI.
Filtering by tech: Fivetran
Clear Filter- 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
- 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
- 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
- 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
- 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
- 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
- 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 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
- 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 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
- 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
- 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
- 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
- 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 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
- 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 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
- 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
- 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