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