Data Engineer – TS/SCI Cleared

Job Summary

We are seeking a highly skilled Data Engineer with an active TS/SCI clearance to support mission-critical federal programs. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and enterprise data platforms supporting large-scale analytics, reporting, and operational intelligence initiatives.

The candidate should have strong experience with cloud platforms, ETL/ELT processes, big data technologies, database management, and secure data environments.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows
• Build and optimize data architectures supporting structured and unstructured data
• Integrate data from multiple secure and enterprise systems
• Develop data models, data lakes, and warehouse solutions
• Work with large datasets in cloud and on-prem environments
• Implement data quality, governance, and security best practices
• Collaborate with Data Scientists, Analysts, DevOps, and Engineering teams
• Automate data ingestion and transformation processes
• Troubleshoot performance bottlenecks and optimize database queries
• Support secure data handling in classified environments
• Create technical documentation and data flow diagrams
• Participate in Agile/Scrum ceremonies and sprint planning

Required Qualifications

• Active Top Secret with SCI Clearance (TS/SCI) required
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field
• 5+ years of experience as a Data Engineer or related role
• Strong experience with Python, SQL, and data processing frameworks
• Experience with ETL tools and pipeline development
• Hands-on experience with cloud platforms: AWS / Azure / Google Cloud
• Experience with: Apache Spark, Hadoop, Kafka, Airflow, Databricks
• Strong knowledge of relational and NoSQL databases
• Experience with data warehousing solutions
• Understanding of data governance and security compliance
• Familiarity with CI/CD and DevOps practices
• Excellent communication and problem-solving skills

Preferred Qualifications

• Experience supporting federal/government environments
• Knowledge of machine learning pipelines
• Experience with containerization technologies: Docker, Kubernetes
• Certifications preferred: AWS Certified Data Analytics, Azure Data Engineer Associate, Snowflake Certification, Security+