Description
As a Senior Data Engineer on the Analytics Team, you will collaborate with stakeholders across the company to design, build and implement data pipelines and models that enable our next generation of technology to be deployed around the world. You will have a hand in helping shape the data platform vision at Anduril.
We're looking for software and data engineers who are seeking high impact collaborative roles focused on driving operational execution. Ideally you are looking to learn what it takes to build the next generation of defence technology.
Your responsibilities will include leading the design and roadmap for our data platform, partnering with operations, product, and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs, owning 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, and managing a large user base and providing true data self-service at scale.
We use Palantir Foundry as our central hub for data-driven applications, visualizations and large-scale data analysis across the Anduril org. We also use SQLMesh for data transformations, Athena for querying data, Apache Iceberg as our table format, and Flyte for orchestration.
Required qualifications include 5+ years of experience in a data engineering role building products, ideally in a fast-paced environment, good foundations in Python or another language, experience with Spark, PySpark, SQL and dbt, experience with Enterprise Data Systems like Palantir Foundry, and experience with or interest in learning how to develop data services and data products.
The salary range for this role is $166,000-$220,000 USD.