Jr. Data Engineer-Top Secret cleared

BlueWater Federal is looking for a Jr.

Data Engineer to support CENTCOM at MacDill AFB.

As a Data Engineer, you will design, implement, and maintain data pipelines for ingesting, transforming, and storing structured and unstructured data from diverse sources.

US Citizenship and active Top Secret clearance required.

• Design, implement, and maintain data pipelines for ingesting, transforming, and storing structured and unstructured data from diverse sources.
• Connect to authoritative data sources via APIs (e.g., REST APIs) to ingest data into a data lakehouse architecture for further processing and storage.
• Automate Extract, Transform, and Load/Extract, Load, and Transform (ETL/ELT) workflows to enable real-time or near-real-time data processing.
• Curate ingested data into structured datasets optimized for analytics and reporting.
• Implement and enforce DoD-compliant data governance frameworks, including metadata tagging and data classification.
• Monitor and improve compliance with data policies and access control protocols.
• Optimize the storage and retrieval of data to ensure seamless integration with analytics platforms and dashboards.
• Support analytics initiatives using tools like Jupyter Notebooks, Databricks, Qlik, Palantir Foundry, Tableau, and other platforms.
• Partner with mission teams to understand operational data requirements and translate them into technical solutions.
• Explore and implement emerging technologies such as machine learning (ML) tools and AI frameworks to improve data processing and insights.
• BA/BS in Data Management/Science/Analytics, Computer Sciences, Information Technology, or related fields is desired
• Must be a US Citizen. Active TS clearance and SCI eligibility is required.
• 1+ years of Data Analysis experience
• Experience in building data pipelines, ETL/ELT workflows, and data storage solutions.
• Experience connecting to authoritative data sources via APIs (e.g., REST APIs) and integrating that data into data lakehouses or similar architectures. Proficiency in Python, SQL, and/or other programming languages for data manipulation.
• Hands-on experience with data storage and processing tools such as Apache Spark, Databricks, Hadoop, or similar.
• Experience with data normalization, mining/aggregation, and visualization
• Experience with operational dashboard design, development, and use