Data Integration Engineer -TS/SCI
: Job Details :

Data Integration Engineer -TS/SCI Location: Bethesda, MD (Hybrid) Security Clearance: active Secret clearance and the ability to obtain and maintain a TS/SCI with Polygraph Our Client is seeking for the next TS/SCI cleared Data Integration Engineer for the National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract. Make a meaningful impact within a mission-focused, solution-oriented, and adaptive environment that prioritizes innovation, collaboration, and professional growth. In this role, you will be responsible for designing, implementing, maintaining, and monitoring data pipelines, supporting both R&D prototypes and production pipelines. Success in this position hinges on your ability to collaborate effectively across functional teams, including development, product management, and quality assurance, in a fast-paced and dynamic setting. If you're ready to contribute your expertise and creativity to our mission-driven work, we invite you to join our team.Responsibilities Perform Database builds, installs, configuration, administration, and troubleshooting of database systems (e.g., MariaDB/MySQL, Postgres, Elasticsearch, Qdrant, Milvus, etc.) Ensure data integrity by performing employing data engineering best practices Maintain database and data pipeline documentation, data dictionaries, and system diagrams Minimum Requirement Bachelor's Degree and 12+ years of prior relevant experience or Masters with 10+ years of prior relevant experience Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps / MLOps, using CI/CD methodology with data pipelines, and cloud-native deployment paradigms Must possess an active Secret clearance and the ability to obtain and maintain a TS/SCI with Polygraph Experience with database design, implementation, maintenance, monitoring, performance tuning, and optimization. Expertise in data profiling techniques and understanding the content from both a data quality and business perspective Experience with data quality and accuracy evaluation techniques Experience with Agile practices Development experience with Python Experience on data model development, modification and migration, and maintenance Strong verbal and written communication skills Enthusiastic with the ability to work well on a team and a self-starter who can work independently. Preferred Qualification An active TS/SCI clearance Experience supporting data teams and data scientists Experience on a production/ enterprise system Experience in air-gapped environments Application development and deployment in an AWS environment AWS certifications