Job description

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.

Requirements

Must-haves

Senior Analytics Engineer
Location: Los Angeles, CA (Hybrid)
Salary: $150-200k base
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.
You'll sit at the intersection of analytics, engineering, and operations, helping build a scalable "digital twin" of a fast-moving, technically complex organization.
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
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpython

Platform: careers-html
Effort: medium