Senior Technical Sourcer, Hardware

Anduril Industries

Hybrid

Quick summary

Work type: Hybrid
Location: Costa Mesa, CA
Employment: Contractor
Posted: today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $176k

$135k most similar roles pay here $213k

This listing doesn't post a salary. Most similar roles pay $146,500–$205,375.

Based on 240 similar postings.

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About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 2043 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1818 roles with salary data.

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At a glance

TL;DR · Senior Technical Sourcer, Hardware

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As a Senior Software Engineer on the Data Engineering team, you will play a pivotal role in developing and maintaining scalable data pipelines for our growing analytics platform. Your day-to-day responsibilities include designing and implementing robust ETL processes, optimizing database performance, and collaborating with cross-functional teams to ensure seamless integration of new features. Proficiency in Python, SQL, and experience with cloud-based solutions like AWS or Azure is essential. Additionally, familiarity with big data technologies such as Hadoop and Spark will be highly beneficial. This role demands a deep understanding of data architecture and the ability to solve complex business problems through innovative technical solutions.

Skills

Python Docker Kubernetes AWS CI/CD PostgreSQL Git Jenkins Terraform Linux

What you'll do

Design and implement data privacy policies for the company.
Conduct regular audits to ensure compliance with data protection regulations.
Develop training materials on data security best practices.
Investigate data breaches and implement corrective actions.
Collaborate with legal teams to update privacy agreements.

What we're looking for

3+ years of relevant professional experience in data analysis or a related field.
Strong proficiency in SQL and other database management tools.
Experience with statistical software such as R, Python, or SAS.
Excellent analytical skills to interpret complex data sets.
Bachelor’s degree in Computer Science, Statistics, Mathematics, or equivalent.
Ability to communicate findings effectively through reports and presentations.
Knowledge of data privacy regulations and best practices.

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