WHAT YOU’LL DO
- Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust and efficient ETL/ELT pipelines to
- process petabyte-scale data from a wide variety of sources using platforms like Google BigQuery , Databricks, and
- Palantir Foundry .
- Apply Software Engineering Principles: Treat data infrastructure as a software product. Develop reusable
- frameworks, libraries, and tools to accelerate data pipeline development and ensure reliability , using best practices like
- version control, code reviews, and CI/CD.
- Architect and Model Data: Design and implement well-structured, performant data models and schemas in our data
- warehouse and data lakehouse environments, optimized for both analytical querying and application use.
- Ensure Data Quality and Reliability: Implement comprehensive data quality checks, monitoring, and alerting to
- proactively identify and resolve data issues. Troubleshoot and optimize performance bottlenecks in data processing and
- storage layers.
- Be a Force Multiplier: Collaborate closely with data scientists, analysts, software engineers, and business stakeholders
REQUIRED QUALIFICATIONS
5+ years of experience in a data engineering or a similar software engineering role, ideally building data products in a fast-paced environment.
Strong programming proficiency in Python.
Hands-on expertise with at least one major cloud data platform such as Google BigQuery, Databricks, or an enterprise data system like Palantir Foundry.
Expert-level SQL and query optimization skills on large-scale datasets.
Solid understanding of data modeling concepts, ETL/ELT design patterns, and data warehousing/lakehouse principles.
Experience with a major cloud environment (GCP, AWS, Azure), including its security ecosystem and containerization technologies (Docker, Kubernetes).
Must be eligible to obtain and maintain a US Top Secret security clearance.
PREFERRED QUALIFICATIONS
Hands-on experience with data orchestration and transformation tools like Spark, PySpark, and dbt.
Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) for managing data resources.
Knowledge of real-time data streaming technologies (e.g., Kafka, Flink, Pub/Sub).
Experience implementing CI/CD pipelines for data applications (e.g., GitHub Actions, Jenkins).
Experience with or a strong interest in learning how to develop data services and data products using modern software architecture and API design principles.
Familiarity with data visualization tools, such as Tableau
US Salary Range
$147,000—$196,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
Please always verify communications
Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
