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Senior Analytics Engineer

Harnham

Los Angeles, CA · Posted October 20, 2026

More in California job market · Technology & Software · Data & Analytics jobs

Pay compared with the market

This listing does not state pay. Across 31 open senior analytics engineer listings that state pay, the middle half runs $167,500 to $206,000 and the median is $190,000.

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About the job

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Senior Analytics Engineer Location: Los Angeles, CA (Hybrid)

Salary: $150-200k base

We’re partnering with a rapidly scaling, mission-focused advanced technology company operating at the intersection of AI, hardware, and large-scale systems. Their software platform aggregates and operationalizes complex, real-time data to power critical decision-making in high-stakes environments.

As the company continues to grow, they are hiring a Senior Analytics Engineer to help architect and scale the core data foundation of the business.

The Opportunity

You will design and implement the core data models that represent how the organization operates across functions such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, workflows, and metrics used by leadership to run the business.

You’ll sit at the intersection of analytics, engineering, and operations, helping build a scalable “digital twin” of a fast-moving, technically complex organization.

What You’ll Do

Define and develop domain-level data models that reflect real business operations

Build secure, scalable, and extensible transformations and data pipelines

Own ingestion and egress frameworks across multiple source systems

Contribute to architectural decisions and roadmap direction for the data platform

Partner cross-functionally with engineering, product, and operations stakeholders

Translate ambiguous business questions into structured, production-grade data systems

Drive adoption of self-serve data applications beyond traditional BI

What They’re Looking For

5+ years of experience in Analytics Engineering, Data Engineering, or highly technical analytics roles

Advanced SQL skills and strong experience with Python or similar languages

Demonstrated success building scalable, reusable data models in fast-paced environments

Experience with modern data stack tools such as dbt, Redshift, and BI platforms; exposure to enterprise data platforms is a plus

High degree of ownership and comfort operating autonomously

Strong communication skills and ability to partner with non-technical stakeholders

Ability to obtain and maintain a U.S. Secret security clearance

This is a high-impact opportunity to shape foundational data systems inside a company solving complex, real-world problems at scale. If you’re excited by building data applications that influence how an organization operates, click apply to learn more.

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