Extract, Transform, Load (ETL) Software Engineer

Extract, Transform, Load (ETL) Engineer

Why This is an Exciting Role:

At Boeing Intelligence and Analytics, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, youll learn and grow, contributing to work that shapes the world. Find your future with us! Boeing Intelligence and Analytics is looking for a Extract, Transform, Load (ETL) Engineer to join a dynamic team supporting the Army OSINT Office.

As a member of the team, you are an integral part of a global force supporting our Warfighters at a time of strategic competition. On this program, you will translate customer needs into detailed requirements and develop integrated software and support processes enabling the transformation of information into intelligence for decision advantage. Candidates must be able to adapt in an exciting, dynamic operational environment while maintaining relationships with stakeholders and customers.

• Lead the development of ETL solutions that align with mission and business requirements, ensuring data accuracy, completeness, and timeliness.
• Develop and maintain ETL processes using platforms such as Talend, Apache NiFi, Apache Airflow, or similar orchestration and transformation tools.
• Design and manage workflows for data warehousing and integration solutions such as Databricks, AWS-native services (Redshift, Glue, S3), and Palantir Foundry.
• Apply deep expertise in both SQL and NoSQL databases, designing schemas and queries to support high-volume, high-velocity, and unstructured data.
• Integrate ETL solutions with cross-domain technologies such as AWS Diode, ensuring secure and compliant data flows.
• Create and maintain technical documentation for ETL solutions, including data mapping, data lineage, and validation.
• Perform pipeline monitoring, tuning, and troubleshooting to ensure reliability and performance at scale.
• Perform data profiling and quality analysis to ensure the integrity of mission-critical datasets.
• Apply advanced data extraction techniquesincluding OCR (e.g., Tesseract) and computer vision libraries (e.g., OpenCV) to handle non-traditional and unstructured data sources.
• Collaborate with database administrators, cloud engineers, and IT teams to resolve issues across hybrid infrastructures.
• Explore and integrate state-of-the-art methods, tools, and processes to modernize ETL and data pipelines.
• Lead and mentor team members, balancing technical excellence with mission and business priorities.

What Makes BI&A Different:

As a fully owned subsidiary of The Boeing Company, BI&A offers an optimal mix of a small company environment with exceptional opportunities supported by a large corporation.

Every day, Boeing Intelligence & Analytics supports global missions by building and delivering intelligence, analytics, and cyber solutions that enable users to advance national security. From hardware and software engineering solutions to analytics that keep this nation safe, we create value that meets users needs. With vibrant partnerships and innovative approaches, we serve the Intelligence Community through innovation and vision. We have provided our customers with the tools needed to counter evolve global and cyber threats, and to improve wartime decision-making.

• Our talented employees bring software development, systems engineering, and advanced analytics expertise.
  
• We offer numerous prime contract opportunities with customers headquartered in Maryland, Virginia, and the District of Columbia, as well as subcontract opportunities that align with our areas of focus and additional opportunities nationwide through our parent company.
  
• We have current open positions on awarded programs across diverse customer sets and are anticipating upcoming contract awards with a 5-year life cycle and an additional 5 option years.
  
• Our diverse portfolio allows our employees to move to other projects and teams as they gain further proficiency in their current skill set and learn new skill sets along the way.
  
• We offer hands-on access to cutting-edge technologies and a culture of technical excellence.

Experience and Qualifications:

To be eligible for this demanding position, the ideal candidate should demonstrate the following experience and qualifications:

Required Education and Years of Experience:

• Bachelor's degree from an accredited course of study in engineering, computer science, software engineering, or a related discipline.

• 14+ years of related work experience

Required Qualifications:

• Active TS/SCI clearance
• Extensive experience in data quality analysisand ensuring ETL data accuracy and completeness.
• Proven track record developing and maintaining ETL processes using Informatica, Talend, Apache NiFi, Apache Airflow, or similar.
• Strong expertise in SQL and NoSQL databases.
• Experience building, optimizing, and monitoring data pipelinesin production.
• Demonstrated ability to lead teams and efforts, balancing quality and mission requirements.

Desired Qualifications:

• Master's degree or higher in a relevant field.
• Experience with data warehousing and integration solutions(Databricks, Snowflake, AWS-native tools, Palantir Foundry).
• Hands-on experience with pipeline monitoring frameworksand performance tuning.
• Familiarity with cross-domain integration technologies such as AWS Diode.
• Experience with OCR (Tesseract) and computer vision tools (OpenCV)for advanced data extraction.
• Knowledge of real-time/streaming data frameworks(e.g., Kafka, Kinesis).
• Familiarity with DevSecOps concepts, CI/CD pipelines, and containerized environments (Kubernetes)to modernize data engineering practices.
• Strong communication, leadership, and collaboration skills.
• Ability to work independently and in team-oriented environments in fast-paced mission contexts.

Telework/Remote Availability: Remote/Telework not currently authorized

Work Location(s): Fort Belvoir, VA

Summary Pay Range:

Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.

$178,000 - $231,000