Anduril Industries

Anduril Industries is an American defense technology firm that specializes in developing advanced autonomous systems for integrated awareness and security across land, sea, and air, utilizing its proprietary Lattice platform to enhance intelligence, su...

Aerospace & Defense

Industrials

1K-5K (2200)

Founded 2017

$2200M raised

636 open positions

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Senior Analytics Engineer, People Data

3 hours, 6 minutes ago

United States

Full-time

Senior

Analytics Engineer

Data Science and Analytics

Apache Airflow Apache Spark AWS Azure CI/CD CloudFormation Dagster Databricks dbt Docker Flink GCP Git Kubernetes Looker Power BI Python Snowflake SQL Tableau Terraform

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Anduril Industries

Aerospace & Defense

1K-5K

Founded 2017

$2200M raised

View All Jobs 636

Description

Design, build, and optimize ETL/ELT pipelines that ingest and transform people data from HR systems into the data platform.
Develop, maintain, and govern scalable data models, schemas, and ontologies for people analytics.
Contribute to the design and evolution of the people data platform and tooling, with an emphasis on automation and scalability.
Partner with People Analysts, HR Business Partners, and other stakeholders to translate analytical needs into robust data solutions.
Implement and monitor data quality checks, troubleshoot data issues, and ensure data integrity across systems.
Monitor pipeline and model performance, identify bottlenecks, and improve efficiency and scalability.
Create and maintain documentation for data pipelines, models, and processes, while promoting engineering best practices.
Implement and enforce data security measures and ensure compliance with employee data privacy regulations.
Collaborate with enterprise analytics and data engineering teams on architecture standards and cross-domain data integration.

Requirements

5+ years of progressive experience in Data Engineering, Analytics Engineering, or a similar role building and optimizing data pipelines and infrastructure.
Expert-level SQL proficiency for complex data manipulation and querying.
Advanced Python experience for scripting, data processing, and automation.
Experience with cloud data warehousing platforms such as Snowflake, Google BigQuery, AWS Redshift, or Databricks/Delta Lake.
Experience with data lake technologies such as AWS S3 or Azure Data Lake Storage.
Proven experience designing and maintaining analytical data models, including dimensional modeling and Kimball methodology.
Hands-on experience with ETL/ELT tools or orchestration platforms such as dbt, Apache Airflow, Flyte, or Dagster.
Excellent written and verbal communication skills with the ability to translate technical concepts for non-technical stakeholders.
Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
Strong technical foundation in data engineering with experience across AWS, GCP, or Azure.
Preferred: Experience with Apache Spark, Flink, Apache Iceberg, or Delta Lake.
Preferred: Direct experience with Palantir Foundry, SQLMesh, Flyte, or similar data orchestration and transformation tools.
Preferred: Cloud certifications such as AWS Certified Data Analytics - Specialty or Google Cloud Professional Data Engineer.
Preferred: Experience with Terraform, CloudFormation, Docker, or Kubernetes.
Preferred: Experience integrating data pipelines with BI tools such as Tableau, Power BI, or Looker.
Preferred: Deep expertise with HRIS systems such as Rippling, Workday, or Oracle HCM Cloud, including their data models and APIs.
Preferred: Familiarity with HR data concepts, metrics, and systems such as HRIS, ATS, and LMS.

Benefits

Base salary range of $166,000 to $220,000 USD.
Highly competitive equity grants included in the majority of full-time offers.
Top-tier benefits for full-time employees.
Comprehensive benefits package available at little to no cost to employees.
Support for health and recovery as part of the benefits package.

Interested in this position?

Apply directly on the company website

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