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SI

Data Engineer (HN 2) | Hybrid Work in San Francisco, CA

ETL/ELT Data Pipelines Data Infrastructure

About the Role

We’re looking for a highly skilled, results-driven Data Engineer to help build and maintain our data infrastructure. In this role, you’ll design and implement ETL/ELT pipelines that enable efficient storage, processing, and analysis of large volumes of data.

You’ll collaborate closely with data scientists, analysts, developers, and other teams to ensure data is reliable, accessible, and scalable for decision-making.

Responsibilities

  • Design, develop, and maintain data infrastructure and data pipeline architectures
  • Build and optimize ETL/ELT workflows for data ingestion, transformation, and delivery
  • Ensure data quality, integrity, and reliability across systems
  • Partner with cross-functional teams to support analytics and downstream use cases
  • Continuously improve performance, automation, and scalability of data processes

Requirements

  • Strong background in data engineering and pipeline development
  • Analytical mindset with the ability to troubleshoot and optimize data workflows
  • Experience working with large-scale data processing and storage systems
  • Ability to collaborate effectively in a dynamic, team-oriented environment

Benefits

  • Opportunity to work on data platforms that power analytics and business decisions
  • Collaborative environment with engineers, analysts, and data scientists
  • Focus on automation and process optimization
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Posted on July 16, 2026
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