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Analytics Engineer

Open 21d

Summary

Build and maintain a next-generation data pipeline and analytics stack, applying AI/LLMs to extract, transform, and serve data for reporting and decision-making.

Analytics Engineer

Data, Artificial Intelligence, & Solutions (DAIS) • Full-Time • Remote

211LA is a dynamic, forward-thinking organization committed to fostering a culture of innovation, inclusivity, and professional growth. As a leader in Information and Referral Services, we take pride in providing our employees with a supportive and collaborative environment where they can thrive and contribute to the success of our organization.

The Analytics Engineer is a new role on the 211LA DAIS team, created to help develop and own the next-generation data pipeline that anchors our 2026/7 roadmap. The ideal hire is a self-starter who can take open-ended problems and produce high-quality solutions. They’re a strong practitioner of applied AI who understands both foundational and advanced techniques for coaxing excellent output from large language models. They bring a solid command of the modern analytics engineering stack to bear for building and maintaining our full analytics pipeline.

Position Details


Position: Analytics Engineer

Reports To: Director of Data, Artificial Intelligence, & Solutions

Department: Data, Artificial Intelligence, & Solutions (DAIS)

Employment Type: Full-Time, Exempt

Key Responsibilities

  • Develop, own, and maintain the Data team ETL pipeline
  • Build and maintain version-controlled dbt models and a consistent bronze/silver/gold layer shared across the team
  • Support dataset discovery and qualification using deep-search techniques. Onboard discovered data sources from extraction to analytics data mart.
  • Deploy, schedule, and monitor data jobs; diagnose and resolve pipeline failures
  • Apply AI/LLMs thoughtfully across the pipeline to keep pace with an ambitious roadmap while keeping output reliable
  • Build and support BI reports for program managers and mid-to-senior leadership
  • Take open-ended initiatives from scoping through production delivery with high quality
  • Organize and maintain code, tests, and documentation using version control

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