Data Engineer II

Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related field
At least 5 years of experience in data format conversion and ETL/ELT development using APIs, scripting, and standard tooling (e.g., Python, Airflow, Informatica)
At least 2 years working in Agile/Scrum environments with CI/CD pipelines or cloud-based data stacks
Active Secret Clearance required
Hands-on experience with relational and NoSQL databases, data lakes, or cloud-native storage
Must have effective critical thinking and problem-solving skills
Must be self-motivated and able to deliver with minimal supervision
Proficient in Microsoft Office Suite

Design, develop, and maintain scalable ETL/ELT pipelines and data processing workflows to support analytics and operational reporting
Develop automated data ingestion and transformation routines using Python, SQL, or other languages
Build and optimize data architectures to ensure performance, integrity, and security across systems
Collaborate with analysts and data scientists to translate mission use cases into data requirements
Conduct data profiling, cleansing, and quality improvement initiatives
Tune and debug stored procedures, packages, and functions to maximize pipeline performance
Support data migration and integration efforts across Navy enterprise systems and cloud platforms
Maintain documentation on data schemas, flow diagrams, and architecture decisions

Familiarity with Navy data systems, cybersecurity compliance, and data security practices a plus
Experience with collaborative platforms like Jira, Confluence, Jama, or Git