Data Engineer Mid

Purpose and Impact

This position is contingent upon award of contract, business needs, security clearance verification, and funding availability. We are seeking a Mid‑Level Data Engineer to support various locations. The ideal candidate will develop and maintain robust data pipeline architectures to support complex intelligence operations. Responsibilities include developing scalable data infrastructure using industry‑standard practices for data integration and storage, implementing ETL processes and real‑time data processing solutions, and creating/optimizing data models and schemas to enable efficient querying and analysis while ensuring compliance with IC security standards and data governance requirements.

Standard 40‑hour work week between 0600 and 1800, Monday through Friday. Ability to work shift work if necessary.

• Design and implement scalable data architectures to support intelligence operations, ensuring systems can handle growing volumes of data
• Develop automated processes for data ingestion, transformation, and integration from multiple sources, including conditioning of non‑standard datasets
• Build efficient data storage solutions optimized for intelligence functions using appropriate SQL and No
  
  SQL technologies
• Create and maintain data pipelines for both batch and real‑time processing to ensure timely availability of critical intelligence data
• Implement data quality controls and monitoring systems that ensure integrity and reliability of information
• Optimize query performance and data access patterns to support rapid retrieval of intelligence data by analysts
• Implement data governance practices and quality assurance processes to ensure compliance with IC standards
• Develop and maintain comprehensive data documentation and lineage information to support data provenance requirements
• Create robust security measures to protect sensitive data in accordance with classification guidelines
• Collaborate with intelligence analysts to understand complex data requirements and develop appropriate technical solutions
• Actively participate in JIOC intelligence planning conferences and exercises, working groups, intelligence system capability development meetings, and technical exchange meetings with mission partners

• Proficiency in programming languages essential for data engineering, particularly Python (or R)
• Experience with database technologies including both SQL and No
  
  SQL systems
• Knowledge of ETL tools and data pipeline frameworks
• Demonstrated experience with cloud‑based data platforms and services
• Understanding of data governance principles and information security practices
• Experience designing and implementing data pipelines for batch and real‑time processing
• Demonstrated ability to optimize database performance and query efficiency
• Experience integrating data from multiple sources and in various formats
• Familiarity with intelligence data types and collection methodologies

TS/SCI. Ability to take a poly if requested.

Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field.

Minimum 3‑5 years of experience in data engineering, database administration, or similar roles.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.