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Senior Analytics Engineer

Liftoff LogoLiftoff
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Salary

SF Bay Area, Los Angeles/Orange County, NYC, Seattle: $165,000 - $196,000; Olympia, Austin, San Diego, Santa Barbara, Boston: $150,000 - $180,000; All other cities and towns in our approved states: $140,000 - $170,000

Location

United States, Remote. This role is eligible for full-time remote work in one of our entities in the Pacific Time Zone: CA, NV, OR, and WA.

Analytics Engineers bridge the gap between data engineering and data analysis, focusing on transforming raw data into clean, structured, and accessible datasets that empower stakeholders to make data-driven decisions. Their role combines technical expertise, collaboration, and software engineering best practices to ensure reliable and scalable analytics systems. Analytics Engineers commercial, finance, platform, and R&D teams with trusted, high-quality data to drive business decisions at speed.

Responsibilities

  • Design and maintain efficient data models for company-wide analysis, collaborating closely with business users.
  • Develop user-facing data products using SQL and analytics on core infrastructure managed by the Data Engineering team.
  • Optimize and improve Liftoff's Looker-based BI layer to scale and meet business needs.
  • Independently complete tasks, managing your priorities and contributing to larger projects with minimal supervision.
  • Identify and resolve technical debt, improving team productivity and project health.
  • Maintain and troubleshoot data pipelines, ensuring reliable operation.
  • Collaborate with users to optimize queries, design aggregations, and suggest performance improvements.
  • Follow best practices like version control and CI/CD, ensuring maintainable and scalable code.
  • Ensure high-quality work that meets security, reliability, and privacy standards.

Qualifications

  • Minimum Bachelors Degree in Computer Science or related field
  • 5+ years of experience with SQL, including expertise in writing efficient, optimized queries.
  • Strong experience with Data Analytics and a solid understanding of query plans and data model optimization.
  • 2+ years of experience with Looker, including developing user-facing dashboards, reports, and complex data models.
  • Proficiency in Python for data analysis, automation, and integration with data workflows.
  • Experience with JupyterLab for interactive analysis, data exploration, and creating reproducible workflows.
  • Experience with DBT, Rill, and Looker for data modeling and BI tools.
  • Strong knowledge of database fundamentals (execution plans, join strategies, etc.), with the ability to tune queries for performance.
  • Excellent communication skills and experience collaborating with different teams to understand requirements.

Nice to Have

  • Experience in ad-tech.
  • Knowledge of AgroCD, Kubernetes, AWS, and Github.
  • Familiarity with Big Data technologies like Apache Spark or Databricks.
  • Experience with a second programming language (especially Scala).
  • Familiarity with machine learning workflows.

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