Data Analytics Engineer II

Posted An Hour Ago
Be an Early Applicant
Nashua, NH, USA
Hybrid
79K-135K Annually
Junior
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Where purpose connects.
The Role
Build and maintain data pipelines, transformations, models, schemas, validation checks, and documentation that produce reliable analytics-ready data. Integrate information from APIs, operational systems, data lakes, and warehouses while improving governance, quality, and performance. Collaborate with engineers, analysts, and stakeholders to define metrics and analytics requirements, troubleshoot production issues, monitor reliability, and deliver scalable data products. Participate in code reviews, Agile/Scrum development, and continuous process improvement.
Summary Generated by Built In
Job Description
See what you are missing. Our employees work on the world's most advanced software and electronics - from developing world-class autonomous mission management capabilities to advanced data analytics to support the warfighters and the intelligence community. Spanning air, land, sea, and space, we are developing the technology of tomorrow, delivered today. Drawing strength from our differences, we are innovating for the future. And you can, too. Our flexible work environment provides you a chance to change the world without giving up your personal life. We put our customers first - exemplified by our mission: "We Protect Those Who Protect Us(R)." Sound like a team you want to be a part of? Come build your career with BAE Systems.
Our engineers are the lifeblood of our company and we are more than 5,000 strong. With our robust offering of educational and career development opportunities, your chances to grow are limitless. BAE Systems' Digital Architecture Team (DAT) is looking to hire a Data Analytics Engineer II to join our team. We are responsible for transitioning Engineering and Operations from legacy software and infrastructure to modern digital practices.
Our core product is data. Engineering and Operations produce a large volume and wide variety of data. In this role, you will help turn that data into trusted, analytics-ready information by developing data models and transformations, improving data quality, and partnering with customers to understand their needs and issues. Our system spans both modern cloud-based solutions and legacy Windows-based infrastructure.
Our team built a highly scalable containerized gRPC microservices platform and micro-frontends web applications. We need your help ensuring that data is collected, transformed, validated, documented, and made available for our end customers. You will collaborate with software engineers, analysts, and stakeholders to deliver reliable data products and continuously improve the way our customers use data.
Key Responsibilities:
  • Collaborate with engineers, analysts, and stakeholders to understand data needs and define clear analytics requirements.
  • Build, maintain, and troubleshoot data pipelines and transformations that produce reliable, analytics-ready data.
  • Develop and maintain data models, schemas, metric definitions, and documentation for reporting and analysis.
  • Implement data validation and quality checks, investigate anomalies, and communicate issues and recommended actions.
  • Integrate data from APIs, operational systems, data lakes, and data warehouses while maintaining appropriate data governance.
  • Monitor pipeline performance and reliability, participate in code reviews, and contribute to continuous process improvement.

Required Education, Experience, & Skills
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, plus at least 2 years of professional experience in data engineering, analytics engineering, software development, or a related role; or
  • Master's degree in Computer Science, Software Engineering, Data Science, or a related field. No minimum professional experience is required for candidates with a qualifying master's degree.
  • Experience building, maintaining, and troubleshooting data pipelines, transformations, or data integrations.
  • Experience transforming raw data into clean, structured, and modeled data.
  • Ability to improve data quality and efficiency, optimize data structures and pipelines for analysis, monitor pipeline reliability, interpret complex data, spot trends, and provide actionable insights.
  • Experience developing data models, schemas, validation checks, and documentation that support reporting and analytics.
  • Working understanding of SQLAlchemy, Postgres, PgAdmin, and Postgres extensions.
  • Proficient in non-code-heavy data visualization tools like Tableau, Power BI or Excel.
  • Ability to translate stakeholder questions into clear metrics, datasets, and analytics-ready data products.
  • Comfort participating in code reviews and applying detail-oriented practices that improve quality, consistency, and maintainability.
  • Understanding of software configuration management, version control, and repeatable deployment practices.
  • Ability to monitor, troubleshoot, and communicate data quality or production issues, escalating when appropriate.
  • Strong problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities, including the ability to explain technical concepts to nontechnical stakeholders.
  • Ability to eliminate bottlenecks and bridge teams by serving as the translator between technical infrastructure teams and business-facing analysts.
  • Comfortable working in a fast-paced, startup-like environment.
  • Ability to work in an Agile/Scrum development process.
  • Ability to work independently while contributing effectively as part of a team.
  • Active Secret clearance required.

Preferred Education, Experience, & Skills
  • Experience using GitLab and CI/CD pipelines in a collaborative development environment.
  • Understand how to build and optimize ETL processes and data storage.
  • Proficiency in SQL and Python; familiarity with PostgreSQL and relational data modeling.
  • Work with APIs, data lakes, and data warehouses to integrate and store data efficiently.
  • Working understanding of SQLAlchemy, Postgres, PgAdmin, and Postgres extensions.
  • Experience with Grafana, Prometheus, MinIO, GitLab runners, or similar data and observability tools.
  • Experience designing or supporting scalable data solutions in a Kubernetes environment.
  • Experience with data visualization, business intelligence, semantic models, or metric definitions.
  • Understanding production environments and experience communicating data issues, priorities, and tradeoffs to stakeholders or management.
  • Experience working with a wide variety of data structures and integrating custom and commercial systems.
  • Languages: Python, SQL, C#, Bash
  • Data Processing & Analytics: Pandas, NumPy, dbt (Data Build Tool), Dagster
  • Data Visualization & BI: Tableau, Power BI, Metabase
  • Databases & Warehouses: PostgreSQL, DuckDB, Redis
  • DevOps & Containerization: Docker, Git, Gitlab CI/CD Pipelines

Pay Information
Full-Time Salary Range: $79365 - $134921
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
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.
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.

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, plus at least 2 years of professional experience in data engineering, analytics engineering, software development, or a related role; alternatively, a qualifying master's degree with no minimum professional experience.
  • Experience building, maintaining, and troubleshooting data pipelines, transformations, or data integrations.
  • Experience transforming raw data into clean, structured, and modeled data.
  • Ability to improve data quality and efficiency, optimize data structures and pipelines, monitor reliability, interpret complex data, identify trends, and provide actionable insights.
  • Experience developing data models, schemas, validation checks, and documentation for reporting and analytics.
  • Working understanding of SQLAlchemy, Postgres, PgAdmin, and Postgres extensions.
  • Proficiency with Tableau, Power BI, or Excel.
  • Ability to translate stakeholder questions into metrics, datasets, and analytics-ready data products.
  • Experience with software configuration management, version control, and repeatable deployment practices.
  • Ability to monitor, troubleshoot, and communicate data quality or production issues.
  • Strong problem-solving, attention to detail, communication, and teamwork skills.
  • Ability to bridge technical infrastructure teams and business-facing analysts.
  • Ability to work in a fast-paced, startup-like environment and Agile/Scrum process.
  • Ability to work independently and collaboratively.
  • Active Secret clearance.
  • Experience using GitLab and CI/CD pipelines.
  • Experience building and optimizing ETL processes and data storage.
  • Proficiency in SQL and Python, with familiarity with PostgreSQL and relational data modeling.
  • Experience integrating APIs, data lakes, and data warehouses.
  • Experience with Grafana, Prometheus, MinIO, GitLab runners, or similar data and observability tools.
  • Experience designing or supporting scalable data solutions in Kubernetes.
  • Experience with data visualization, business intelligence, semantic models, or metric definitions.
  • Experience working with varied data structures and integrating custom and commercial systems.

What the Team is Saying

BAE Systems, Inc. Compensation & Benefits Highlights

  • Retirement Support — Retirement benefits stand out with a 401(k) savings plan and company matching, emphasizing long-term financial security. This area is consistently positioned as one of the stronger components of the package.
  • Parental & Family Support — Family programs are notably broad, including paid parental leave, adoption and surrogacy reimbursement, dependent‑care accounts, and child‑ and elder‑care resources. In the U.S., up to 10 subsidized days of backup care per year further support caregivers.
  • Healthcare Strength — Health coverage spans medical, dental, and vision options alongside HSAs/FSAs, mental‑health support, and an Employee Assistance Program. The breadth of offerings provides solid baseline protection across common healthcare needs.

BAE Systems, Inc. Insights

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The Company
HQ: Falls Church, VA
40,000 Employees
Year Founded: 1999

What We Do

Improving the future and protecting lives is an ambitious mission, but it’s what we do. As a leading aerospace, defense, and security company, we work together to deliver a full range of products and services for air, land, space, and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. How we work is rooted in purpose – a purpose to protect those who protect us, to unite our community of colleagues and customers, and to drive forward the growth and development of our exceptional team members. It's where purpose connects.

Why Work With Us

We believe your career should be filled with innovation and discovery. And that's exactly what you'll find at BAE Systems. As you work to develop the latest technology and defend national security, you will continually hone your skills and expand knowledge. On a sharp and collaborative team, you will be challenged – and supported – at every turn.

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BAE Systems, Inc. Teams

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About our Teams

BAE Systems, Inc. Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

As the work place continues to evolve, so do we. Remote and hybrid opportunities are available at BAE Systems depending on the nature of the role. Check your job requisition to learn more.

Typical time on-site: Not Specified
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HQBAE Systems, Inc. headquarters
Annapolis Junction, MD
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Austin, TX
Boulder, CO
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Space & Mission Systems headquarters
Burlington, MA
Cedar Rapids, IA
Dallas, TX
Endicott, NY
Fort Wayne, IN
Greenlawn, NY
Huntsville, AL
Jacksonville, FL
Los Angeles, CA
Maple Grove, MN
Intelligence & Security headquarters
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Electronic Systems headquarters
Redmond, WA
San Diego, CA
San Jose, CA
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Sterling Heights, MI
Washington, DC
Wayne, NJ
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