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Anduril Industries

Senior Analytics Engineer, People Data

Anduril Industries · Boston, Massachusetts, United States; Costa Mesa, California, United States

Posted about 3 months ago

or apply directly on Anduril Industries's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Anduril Industries's roles stay open a median of 80 days
Reposted
No
Salary listed
No
1% of Anduril Industries's roles list one
Ghost-job risk at Anduril Industries
high
2216 stale, 67 reposted of 2,263 open
Hiring momentum
3233 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Anduril Industries's own greenhouse board since 2026-08-03. Full hiring picture for Anduril Industries.

About this role

As a Senior Analytics Engineer on the People Data team, you will focus on building and maintaining the data infrastructure that supports strategic insights from HR data. Your responsibilities include designing and optimizing ETL/ELT pipelines, developing data models, and ensuring data quality and security. You will collaborate with various stakeholders to provide reliable datasets that enhance employee experience and drive data-driven decision-making.

Our read on this posting2.2out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anduril Industries as an employer.

What you need

  • 5+ years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
  • Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
  • Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
  • Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
  • Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
  • Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.

Nice to have

  • Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
  • Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
  • Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
  • Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
  • Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.

What you get

  • Comprehensive, competitive benefits package available at little to no cost to employees.
  • Highly competitive equity grants included in the majority of full-time offers.

Worth weighing

  • No specific mention of work-life balance or remote work options.
  • The role requires a strong technical foundation and meticulous attention to data quality, which may imply a high level of responsibility and pressure.
  • The salary range is provided, but actual offers may vary based on various factors, which could lead to uncertainty in compensation expectations.

Summarised from Anduril Industries's posting. Read the full original.

Listed by Anduril Industries on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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