Data Analytics Engineer II

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.

Data Analytics Engineer II

132320BR

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