Job description

Overview 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. Responsibilities • 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. Qualifications • 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 • Familiarity with one or more of the following: Jupyter Notebooks, Databricks, Qlik, Palantir Foundry, Tableau, and/or similar data analytics platforms. Desired • Expertise in Experience with cloud platforms (e.g., Azure, AWS, Google Cloud) and related services. • Experience with implementing data lakehouse architectures and integrating multiple analytics platforms. • Familiarity with AI/ML concepts and tools like TensorFlow, PyTorch, or Scikit-learn. • Experience with / knowledge of software engineering / languages (Python, Ruby, R, Java, Scala, Rust, etc.) BlueWater Federal is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. BlueWater Federal is a VEVRAA federal contractor and we request priority referral of veterans.

Requirements

Must-haves

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.
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
Familiarity with one or more of the following: Jupyter Notebooks, Databricks, Qlik, Palantir Foundry, Tableau, and/or similar data analytics platforms.

Nice-to-haves

Expertise in Experience with cloud platforms (e.g., Azure, AWS, Google Cloud) and related services.
Experience with implementing data lakehouse architectures and integrating multiple analytics platforms.
Familiarity with AI/ML concepts and tools like TensorFlow, PyTorch, or Scikit-learn.
Experience with / knowledge of software engineering / languages (Python, Ruby, R, Java, Scala, Rust, etc.)

Application prep

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Keywords to mirror

restmachine learningmlaipythonsqlazureawsjavarust

Platform: jibe
Effort: medium