Senior Analytics Engineer

Anduril Industries; Costa Mesa (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Full Family Health Coverage

16 Weeks Paid Parental Leave

Incentivized Time Off

Mental Health Resources

Professional Development

Job summary

Anduril Industries in Costa Mesa, California, is seeking an Analytics Engineer to model internal data and develop data pipelines that enhance operational decision-making. Candidates should have over 5 years of experience in analytics roles and be proficient in SQL and Python.

This position includes significant collaboration with non-technical stakeholders and offers a range of benefits, including full health coverage and parental leave.

Qualifications

• 5+ years of experience in an analytics focused role, such as Analytics Engineer or Data Engineer.
• Strong experience with SQL and knowledge of programming languages like Python.
• Ability to manage projects independently and communicate effectively with stakeholders.

Responsibilities

• Model internal data into reusable entities to enhance decision-making.
• Lead the construction of Anduril’s ontology for various domains.
• Develop data pipelines and support systems for operational data needs.

Skills

SQL

Python

Data visualization with Looker/Tableau

Strong communication with non-technical stakeholders

Tools

dbt

Redshift

Palantir Foundry

Job description

Responsibilities

• The Analytics team is responsible for modeling our internal data into reusable entities that generalize how Anduril 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 Anduril functions and model our data to create the digital twin of our operations
• Lead the building of Anduril’s ontology for a specific domain such as Finance, Supply Chain, Manufacturing, People, and Sustainment
• Collaborate with stakeholders, collecting requirements, and writing the code that results in Secure, Timely, Accurate, Trusted, and Extensible Data Models
• Seek out problems that can be solved with data and proactively work with the organization to make it a reality
• Become a trusted resource for Anduril leadership in helping them run their organizations more effectively
• Partner with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs
• 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
• Palantir Foundry is our central hub for data driven applications, visualizations and large scale data analysis across the Anduril org. We manage a large user base and provide true data self service at scale
• We use SQLMesh for data transformations, giving our engineers the ability to work with SQL while enjoying software engineering best practices like version control, testing, and CI/CD for data pipelines
• For querying data, we utilize Athena, an aws serverless solution that allows our team to run analytics directly on our data lake without managing infrastructure
• We’ve implemented Apache Iceberg as our table format, providing advanced data management capabilities like schema evolution and time travel queries
• We use Flyte for orchestration. It is a highly scalable, kubernetes native modern orchestration platform similar to Airflow or Dagster

Benefits

• Full Family Health Coverage
• 16 Weeks Paid Parental Leave for All Caregivers
• Family Planning & Support
• Incentivized Time Off
• Mental Health Resources
• Financial Planning
• Unlimited Provisions
• Professional Development

Qualifications

• Demonstrated experience with autonomy and process ownership
• Demonstrated aptitude for strategic partnerships and communication with non-technical Stakeholders
• Experience with data stack tools: dbt, Redshift, Looker/Tableau, Palantir Foundry
• Eligible to obtain and maintain an active U.S. Secret security clearance
• 5+ years of experience in an analytics focused role - Analytics Engineer, Data Engineer or Analyst / Consultant with a strong engineering background
• Expert with SQL and experience with Python or other programming languages
• Ability to build world-class data models in a fast, start-up environment