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BS

Senior Principal Data Analytics Engineer

BAE Systems
🇺🇸 United States
On-site
Staff / Principal
1 month ago
132,962 – 226,035
  • Data Architecture
  • Data Modeling
  • dbt
  • PostgreSQL
  • CI/CD
  • SQL
  • Python
  • GitOps
  • GitLab CI
  • Jenkins
  • Airflow
  • Prefect
  • Dagster
  • Great Expectations
  • Snowflake
  • MySQL
  • Docker
  • Kubernetes
  • IaC
  • Terraform
  • Pulumi
  • Pension
1 month ago
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Job Description

Job Summary
As a Senior Principal Data Analytics Engineer atBAE Systems, you will occupy a Mission Critical role at the intersection of software engineering, data analytics, and business intelligence. You will be responsible for supporting and implementing the technical vision for how we transform raw data into actionable insights, moving beyond simple pipelines to build sophisticated, production-grade analytics layers.
You will lead the transition toward a modern, self-hosted analytics infrastructure, ensuring that our data is not only accessible but also high-quality, governed, and ready for high-stakes decision-making. You will ensure that our data architecture adheres to stringent security protocols and regulatory requirements with a secure-by-design approach to data democratization.

Key Responsibilities
  • Advanced Data Modeling: Design and maintain complex data models within aMedallion Architecture, specializing in theSilver andGold layers to provide optimized datasets for end-user consumption.
  • Analytics Transformation: Drive the implementation ofdbt (data build tool) core on self-hosted environments (e.g.,Postgres), emphasizing modularity, version control, and CI/CD best practices.
  • Data Governance and Lineage: Establish and enforce strict data lineage and cataloging standards to ensure auditability and traceability of mission-critical KPIs.
  • Strategy & Architecture: Collaborate with leadership to develop a comprehensive data strategy that balances technical debt with the rapid delivery of analytic value. Architect and deploy data tooling within secure, air-gapped, or hybrid-cloud environments, ensuring seamless updates and stability without constant external connectivity.
  • Performance Optimization: Tune complex SQL queries and optimize data structures to handle large-scale datasets while maintaining cost-efficiency and performance. Optimize the ingestion and transformation of high-velocity telemetry or sensor data, bridging the gap between raw engineering data and executive business intelligence.
  • Cross-Functional Leadership: Partner with Data Scientists and Business Analysts to understand their requirements and provide the "clean room" data environments they need to succeed.
  • Mentorship & Standards: Serve as the technical authority for the analytics engineering team, establishing standards for Python-based automation and SQL documentation.

Required Skills and Education

 
  • Bachelor’s degree in a technical discipline (Computer Science, Engineering, Mathematics) or equivalent experience.
  • 6+ years of professional experience in data or analytics engineering, with a proven track record of delivering end-to-end analytics solutions.
  • Core Technical Stack:
    • Expert SQL: Proficent in window functions, CTEs, and complex joins.
    • Modern Data Stack: Proficient with dbt or similar transformation tool, including macros, packages, and custom testing.
      • Experience implementing GitOps workflows (GitLab CI/Jenkins) or similar for data pipeline deployment.
      • Experience with orchestration tools such as Airflow, Prefect, or Dagster, etc.
      • Proven experience in implementing Data Quality (DQ) frameworks and automated testing (e.g., dbt-tests, Great Expectations, or similar).
    • Environment: Experience managing data within Postgres, Snowflake, MySQL or similar relational databases

Preferred Skills and Education

 
  • Experience with Medallion Architecture design patterns or similar
  • Knowledge of containerization (Docker/Kubernetes) for hosting data tools.
  • Familiarity with the defense industry or government contracting data security requirements.
  • Strong communication skills with the ability to explain complex technical architectures to non-technical stakeholders.
  • Experience with Infrastructure as Code (Terraform or Pulumi) to manage self-hosted data infrastructure.
  • Programming: Strong proficiency in Python for data manipulation and microservice integration.

About BAE Systems, Inc.

BAE Systems, Inc. is a defense, aerospace, and security company headquartered in Falls Church, Virginia, with more than 40,000 employees worldwide. We serve, supply, and protect those who protect us. As one of the most geographically diverse international defense companies, we deliver a full range of products and services spanning air, land, maritime, space, and cyber, including advanced electronics, intelligence solutions, and dedicated customer support.

Our culture is performance-driven and values-led, built on curiosity, creativity, and collaboration. Purpose isn't a tagline here. It's what drives us. We're developing breakthrough technologies that defend national security and make a lasting impact on our communities and our planet. When you join BAE Systems, you're not just building a career. You're contributing to a mission that truly matters.

This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

Benefits Information

Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.

Intern Benefits: Temporary employees generally are not eligible for BAE Systems benefits, but can elect to participate in the 401(k) savings plan. Temporary employees working 20+ hours per week are eligible for medical benefits, the employee assistance program, and business travel accident insurance.

Please note: Some benefits may be different for union employees that are governed by a collective bargaining agreement (CBA) or for positions covered by a wage law called the McNamara-O’Hara Service Contract Act (SCA).
  • Sector: Electronic Systems
  • Job Category: Engineering & Technology
  • Salary Min Point: 132962
  • Salary Max Point: 226035
  • Referral Bonus: 5000
  • Full Time / Part Time: Full-Time
  • Career Level: Experienced
  • Travel Percentage:<10%
  • Shift: 1st Shift
  • U.S. Person Required: Yes
  • Clearance Level – Must be able to obtain for position: Secret
  • Clearance Level – Must currently possess: None
  • Country: United States
  • U.S. Citizenship Required: Yes

Senior Principal Data Analytics Engineer · BAE Systems

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