Skip to content

Senior Analytics Engineer

Liftoff LogoLiftoff
View Organization

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.

Posted

10 months ago

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.

‌