JOB DESCRIPTION

BAE Systems is seeking a Data Engineers to support our government customer. The selected applicants will join the team as we seek to deliver world-class capabilities for our client and their associated contractors, driving productivity and innovation. This team works with real-time data and create tools using cutting-edge visualization, development, and analytic technologies.
Our staff provides full product lifecycle support for a large suite of multiplatform tools, environments, and microservices. These services support every aspect of the intelligence lifecycle including collection management, data aggregation, transformation, and enrichment, knowledge management, object-based production, and production creation and dissemination.
We utilize best practices in data science, artificial intelligence, machine learning, software engineering, data analytics, systems administration, and cybersecurity. Our team will lead in providing the next generation of capabilities planning and continuous integration of new and emerging technologies.
This position will include the following duties and responsibilities:
As a Data Engineer/Integrator, your role entails collaborating closely with a team of developers to fulfill data integration requirements. This involves writing and maintaining code using an Extract-Transform-Load (ETL) platform to ensure data is transformed into suitable formats as defined by IC ITE initiatives. You will interface with external teams and systems, employing various protocols including HTML and SFTP to collect data efficiently. Additionally, your responsibilities include enhancing the ETL platform by adding features aimed at shortening timelines for future data integration efforts. Beyond coding tasks, you’ll develop and maintain software, ensuring seamless integration into a fully functional system. Collaboration with external teams will be necessary to validate data ingest processes. Finally, you’ll be responsible for providing comprehensive documentation covering system architecture, development, and any enhancements made throughout the process.

REQUIRED EDUCATION:

5+ years of professional experience with a Bachelor’s degree or equivalent
3+ years of professional experience with a Master’s degree or equivalent
10+ years of professional experience

Additional experience will be considered in lieu of a degreeRequired Credentials:

• Active TS/SCI clearance with CI polygraph
• Active Security+ Certification or DoD 8140/8570 compliant IAT Level II certification

Required Experience:

• Specialization using the Databricks platform for building, deploying, and managing data and AI solutions
• Experience building ETL pipelines, managing data pipelines, and working with large datasets using tools like Spark, Python, and SQL
• Experience with technologies like Delta Lake, Delta Live Tables, and Databricks Workflows

PREFERRED EDUCATION, EXPERIENCE, & SKILLS

• Experience collaborating with data scientists.
• Familiarity with Advana.
• Strong Python programming skills
• Solid SQL knowledge for querying and data manipulation
• Cloud platform experience, such as AWS, Azure, etc

Please refer the Job description for details