Find Your Next Analytics Engineering Job

A curated list of analytics engineering job openings with details intelligently extracted by AI.

Filtering by location: San Francisco, CA
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  • 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
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  • Data lake development and management
  • Building data pipelines
  • Data modeling
  • Collaboration with stakeholders
  • Data quality and governance
Posted Aug 1, 2025
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  • 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
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  • 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
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  • Build and maintain data pipelines
  • Develop and maintain data models
  • Collaborate with stakeholders
  • Data visualization and dashboarding
Posted Jul 31, 2025
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  • 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
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  • 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
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  • 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
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  • 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
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  • 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
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