Data Engineering at Anduril Industries
Roles, Comp & Culture
An L5 senior data engineer at Anduril Industries sits around $361K total comp from 24 verified salary datapoints. The primary Data Engineering tech consists of Spark, Azure and GCP, according to current job listings. Anduril Industries pays data engineers above other Technology companies. Reviews put them at 3.9 on Glassdoor, a little above the middle of the pack. Anduril Industries employees are stressed and employee happiness is trending down over the past year. Layoff risk scores low for the next 30 days. 34 data engineering roles are open right now.
Anduril Industries data engineer compensation
Each level's figure is the median of individual Anduril Industries offers at that level, so it reflects a typical outcome rather than an average pulled up by a few large packages. Total comp counts base salary plus equity and bonus annualized over the vest, and the range shown is the middle half of offers, with the top and bottom quarters trimmed off.
Anduril Industries employee sentiment, tracked weekly
Employee happiness for data engineers over the past year, so you can see which direction it is moving, not just where it sits today.
The employer bargain at Anduril comes with a clear asymmetry. Pay is above other Technology companies, and $200K at L3 is a real number, not a rounding error. What you give up is a comfortable cultural environment: stressed and trending down signals, a 3.9 Glassdoor rating a little above the middle of the pack, and mixed Blind sentiment together suggest the pace and mission intensity are not evenly distributed across the org. Defense work carries classification adjacency, which limits what engineers can discuss publicly and occasionally constrains tooling choices. The tension for a data engineer specifically is that the mission-driven pressure that makes compensation justified also makes the job harder to leave gracefully if the culture wears thin.
Anduril is in an active expansion phase. 34 open data engineering roles across 5 cities, concentrated around Costa Mesa, points to a data organization building out rather than consolidating. The defense technology sector has seen sustained government contract growth through 2026, and Anduril's product breadth, from counter-UAS to undersea systems, means new data pipelines get stood up as each program scales. low layoff risk over the next 30 days is a meaningful signal in a sector where budget cycles can shift fast. Someone joining now is more likely to be building greenfield infrastructure than maintaining legacy systems, which is a genuine opportunity for engineers who want to own architecture decisions from early in a product's life.
Anduril Industries data engineering tech stack
The languages, storage, and processing tools Anduril Industries data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
Anduril builds autonomous defense systems: drones, sensor towers, command software, and the lattice platform that ties them together in real time. The data engineering problems that creates are unusual: sensor fusion at the edge, telemetry pipelines from hardware in contested environments, and a latency profile closer to aerospace than to consumer tech. The Spark, Azure and GCP stack visible in current listings reflects a hybrid cloud posture where operational data moves through Azure and GCP while Python and Spark do the heavy processing. Engineers here are likely building pipelines that feed autonomous decision systems, which means correctness guarantees and data freshness SLAs carry higher stakes than they do at a typical SaaS company. The job shape is closer to systems-adjacent data engineering than to analytics infrastructure.
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IcebergAnduril Industries data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Design and implement ETL processes for security data ingestion, transformation, and storage
Architect and manage the underlying cloud infrastructure using Infrastructure-as-Code (Terraform), containerization (Docker, Kubernetes), and CI/CD best practices to support the data platform.
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
Database Design and Management: Design, implement, and maintain scalable databases suitable for high-speed, high-throughput data operations.
Architect and manage the underlying cloud infrastructure using Infrastructure-as-Code (Terraform), containerization (Docker, Kubernetes), and CI/CD best practices to support the data platform
Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust and efficient ETL/ELT pipelines to
As a Product Data Engineer you will work closely with the leaders of critical Anduril programs to manage a highly dynamic and fast-paced design, engineering, and manufacturing environment.
Practice for the Anduril Industries loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
The data says Anduril hires disproportionately at the junior end: 14 reports at L3 against 10 at L5, across 2 published levels. If you're earlier in your career and willing to trade comfort for ownership and a larger compensation step-up, the profile fits. The interview loop centers on pipeline architecture, with a Python screen, so the bar is technical and practical, not trivia-heavy. Engineers who thrive here tend to be comfortable with ambiguity in requirements, interested in infrastructure that runs close to physical hardware, and not bothered by mission adjacency to defense contracting. If you need a stable, process-heavy environment or have principled objections to defense work, this is not the place to look. If the fit holds, prep the pipeline architecture fundamentals and check the salary ladder before you negotiate.
Preparing for the Anduril Industries loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Anduril Industries with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Anduril Industries interview difficulty
- 01
Reading a solution is not the same as writing one
Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you
- 02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
- 03
5 problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition