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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Engineer II - **Company:** BAE Systems - **Location:** Nashua, NH, United States - **Experience:** Experienced - **Salary:** $79,365 - $134,921 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Airflow, Data Analysis, Bash Shell, C Sharp (Programming Language), Code Review, Databases, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Structures, Data Stores, Data Visualization, Data Warehousing, Relational Databases, DevOps, Python (Programming Language), PostgreSQL, NumPy, Scrum Methodology, Redis, Power BI, Prometheus, Software Configuration Management, Software Engineering, SQL Databases, SQLAlchemy, Systems Integration, Tableau (Software), Web Applications, Data Processing, Data Storage Technologies, Data Build Tool (dbt), Grafana, Gitlab, Git, SC Clearance, Pandas, Data Lakes, Kubernetes, Information Technology, Data Analytics, Operational Systems, Software Version Control, Data Pipelines, Docker, Microservices - **Published:** November 4, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9288670/data-analytics-engineer-ii ## About the Role * 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 ## Description 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., * 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.