Senior Analytics Engineer

Harnham; Los Angeles (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

An advanced technology company in California is seeking a Senior Analytics Engineer to design and implement core data models that represent business operations across functions. You'll build scalable data pipelines and drive the adoption of self-serve data applications. The ideal candidate has over 5 years of relevant experience, advanced SQL skills, and the ability to work autonomously. This role offers a unique opportunity to shape data systems in a company addressing complex real-world challenges.

Qualifications

• 5+ years of experience in Analytics Engineering or Data Engineering roles.
• Demonstrated success in building scalable, reusable data models.
• High degree of ownership and comfort operating autonomously.

Responsibilities

• Define and develop domain-level data models reflecting business operations.
• Build secure, scalable, and extensible transformations and data pipelines.
• Own ingestion and egress frameworks across multiple source systems.

Skills

Advanced SQL skills

Experience with Python

Strong communication skills

Tools

dbt

Redshift

BI platforms

Job description

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
• 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.