Data Engineer

Senior Analytics Engineer

Location: Costa Mesa, California, United States

Job Type: Onsite

Compensation: $170,000 - $222,000

Note: This role does not support sponsorship/transfer/relocation

About Our Client

Our client is a defence technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Our client is changing how military systems are designed, built, and sold.

Their family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a real-time, 3D command and control center. As the world enters an era of strategic competition, they are committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

About the Team

The Analytics team is responsible for modeling internal data into reusable entities that generalize how the organization operates. From those entities, we build workflows, dashboards, and metrics that drive better and faster decision-making. You will work with stakeholders from across the company to understand how the business functions and model data to create the digital twin of our operations. The Analytics space is ingrained in the team's DNA, as we regularly discuss shifts in the industry and keep up with the top relevant blogs. If this culture and mission speak to you, you've found the right place.

What You'll Do

• Build the Ontology: Lead the building of Our Client's ontology for a specific domain such as Finance, Supply Chain, Manufacturing, People, and Sustainment.
• Collaborate and Code: Collaborate with stakeholders. Collect requirements. Write the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models.
• Proactive Problem Solving: Seek out problems that can be solved with data. Proactively work with the organization to make it a reality.
• Leadership Support: Become a trusted resource for Our Client's leadership in helping them run their organizations more effectively.
• Strategy and Roadmap: Lead the design and roadmap for the data platform.
• Cross-Functional Partnerships: Partner with operations, product, and engineering to advocate best practices. Build supporting systems and infrastructure for the various data needs.
• Manage Frameworks: Own the ingest and egress frameworks for data pipelines that stitch together various data sources in order to produce valuable data products that drive the business.
• Manage Palantir Foundry: Utilize Palantir Foundry as the central hub for data-driven applications, visualizations, and large-scale data analysis across the organization. Manage a large user base and provide true data self-service at scale.
• Data Transformations and Queries: Use SQLMesh for data transformations, giving engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines. Utilize AWS Athena to run analytics directly on the data lake without managing infrastructure.
• Data Management and Orchestration: Implement Apache Iceberg as the table format to provide advanced data management capabilities like schema evolution and time travel queries. Use Flyte for orchestration, a highly scalable, Kubernetes-native modern orchestration platform.

Qualifications

• Experience: 5 years of experience in an analytics-focused role—Analytics Engineer, Data Engineer, or Analyst/Consultant with a strong engineering background. Demonstrated experience with autonomy and process ownership.
• Technical Tools: Experience with data stack tools such as dbt, Redshift, Looker/Tableau, and Palantir Foundry.
• Programming: Expert with SQL and experience with Python or other programming languages.
• Modeling Capabilities: Ability to build world-class data models in a fast, start-up environment.
• Communication: Demonstrated aptitude for strategic partnerships and communication with non-technical stakeholders.
• Clearance Requirement: Eligible to obtain and maintain an active U.S. Secret security clearance.
• Passion for Innovation: Passionate about the next generation of defense technology. Love building efficient and understandable data models. Prioritize velocity and push the frontiers of what analytics can do within an organization.

If the culture and Our Client's mission speak to you, you've found the right place. Apply today!