Job Title: Data Integration Engineer
Clearance: TS/SCI Active Clearance Required for this job.
Type of Job: Direct Hire Fulltime Practice Area: System Engineering
Location: Bethesda, MD
Pay: Excellent and very competitive; plus 15 leave days, 11 holidays, 7 sick days, 401k w/Match etc.
Hours: 40 per week
Contact:
Vector Talent is seeking our next TS/SCI cleared Data Integration Engineer supporting the National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. Your job will be to design, implement, maintain, and monitor data pipelines, both in support of R&D prototypes and production pipelines. You succeed through effective cross functional collaboration in areas such as, but not limited to, development, product, and QA in a dynamic and fast paced environment.
While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule, and some unclassified development tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry.
Location:
Bethesda, MD (Hybrid)
Security Clearance:
TS/SCI
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 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.
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 in 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
Experience supporting data teams and data scientists.
Experience in a production/ enterprise system.
Experience in air-gapped environments.
Application development and deployment in an AWS environment
AWS certifications
Data Integration Engineer with TS/SCI Clearance