Job description

Senior / Staff Analytics Engineer Location: Costa Mesa, CA | Onsite Compensation: $175-215k + Equity Employment Type: Full-Time About the Opportunity We're partnering with a rapidly growing technology company at the forefront of autonomous systems, advanced engineering, AI, and next-generation manufacturing. The organization is seeking Senior and Staff Analytics Engineers to join its high-performing data team, building scalable data products and automated solutions that drive real-world operational impact. This is not a traditional dashboard or reporting-focused role . You'll work on complex technical challenges across manufacturing, supply chain, product telemetry, and enterprise operations, with significant ownership and the opportunity to influence how the business operates. What You'll Do • Data Engineering & Modeling: Design and develop scalable data models, pipelines, and systems supporting complex operational requirements. • Technical Development: Use advanced SQL and Python to build robust data products, applications, and automated workflows. • Architecture & Systems Design: Evaluate technical tradeoffs and contribute to scalable data architecture and distributed systems. • Operational Impact: Develop solutions that improve efficiency, automate processes, and support data-driven decision-making. • Cross-Functional Collaboration: Partner with engineering, manufacturing, finance, and supply chain teams to solve complex business challenges. • End-to-End Ownership: Lead projects from problem discovery and technical design through implementation and optimization. What We're Looking For • 6+ years of experience in analytics engineering, data engineering, or related technical roles; 8-10+ years typically expected for Staff-level consideration. • Advanced proficiency in SQL and Python . • Strong foundation in data modeling , including dimensional and entity modeling. • Understanding of data architecture, distributed systems, and technical tradeoffs . • Experience building scalable data products, pipelines, or automated operational workflows. • Proven ability to own technical initiatives and collaborate with cross-functional stakeholders. • Strong problem-solving skills, intellectual curiosity, and comfort working in ambiguous environments. Nice to Have • Experience in manufacturing, robotics, autonomous systems, hardware, or industrial technology . • Exposure to telemetry, sensor data, or real-time data processing. • Familiarity with dbt or similar transformation tools. • Bachelor's degree in Engineering, Computer Science, or a related field. Why Join? • Work on high-impact, real-world engineering challenges with tangible operational outcomes. • Join a highly technical, collaborative team solving complex data problems. • Take ownership of meaningful projects with opportunities for technical growth. • Competitive compensation, equity, and potential relocation assistance. Work Authorization: U.S. citizenship or lawful permanent residency required.

Requirements

Must-haves

Senior / Staff Analytics Engineer
Location: Costa Mesa, CA | Onsite
Compensation: $175-215k + Equity
Employment Type: Full-Time
Data Engineering & Modeling: Design and develop scalable data models, pipelines, and systems supporting complex operational requirements.
Technical Development: Use advanced SQL and Python to build robust data products, applications, and automated workflows.
Architecture & Systems Design: Evaluate technical tradeoffs and contribute to scalable data architecture and distributed systems.
Operational Impact: Develop solutions that improve efficiency, automate processes, and support data-driven decision-making.
Cross-Functional Collaboration: Partner with engineering, manufacturing, finance, and supply chain teams to solve complex business challenges.
End-to-End Ownership: Lead projects from problem discovery and technical design through implementation and optimization.
6+ years of experience in analytics engineering, data engineering, or related technical roles; 8-10+ years typically expected for Staff-level consideration.
Advanced proficiency in SQL and Python .
Strong foundation in data modeling , including dimensional and entity modeling.
Understanding of data architecture, distributed systems, and technical tradeoffs .
Experience building scalable data products, pipelines, or automated operational workflows.
Proven ability to own technical initiatives and collaborate with cross-functional stakeholders.

Nice-to-haves

Experience in manufacturing, robotics, autonomous systems, hardware, or industrial technology .
Exposure to telemetry, sensor data, or real-time data processing.
Familiarity with dbt or similar transformation tools.
Bachelor's degree in Engineering, Computer Science, or a related field.
Work on high-impact, real-world engineering challenges with tangible operational outcomes.
Join a highly technical, collaborative team solving complex data problems.
Take ownership of meaningful projects with opportunities for technical growth.
Competitive compensation, equity, and potential relocation assistance.

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