Anduril
Data Engineer, Infrastructure FinOps
$147K–$196K
Costa Mesa, California, United States · Full-time · Posted Apr 2, 2026
- Experience
- 5+ years in data engineering or a similar software engineering role.
About the job
Build and scale data infrastructure and pipelines that process large datasets and support analytics, machine learning, and business insights.
What you'll do
- Design, develop, and maintain scalable ETL/ELT pipelines and data models.
- Build reusable data engineering tools and implement data quality, monitoring, and reliability practices.
- Collaborate with data scientists, analysts, software engineers, and business stakeholders.
What they ask for
- Proficiency in Python and expert-level SQL and query optimization.
- Hands-on experience with a major cloud data platform such as Google BigQuery, Databricks, or Palantir Foundry.
- Knowledge of data modeling, ETL/ELT patterns, and data warehousing or lakehouse principles.
- Experience with a major cloud environment and security ecosystem, plus Docker or Kubernetes; eligible to obtain and maintain a US Top Secret security clearance.
Nice to have
- Experience with Spark, PySpark, dbt, Infrastructure as Code, streaming technologies, or data CI/CD.
- Experience developing data services or APIs, or familiarity with Tableau.
Pay
$147,000 — $196,000 USD (base salary)
Tools
Python, Google BigQuery, Databricks, Palantir Foundry, SQL, GCP, AWS, Azure
Model-written summary · the original posting is authoritative