Dataflow Engineer (Senior) - FULLY CLEARED with POLYGRAPH REQUIRED

Requirements

Python; LLM integration; data engineering; Agile; Git; Jira; Confluence; static analyzers; RAG framework; relational and vector databases; RUST; Claude Code; Codex; CI/CD; Must be a US Citizen; Must have TS/SCI clearance w/ active polygraph; Eight (08) years of direct/relevant experience; Bachelor’s degree in computer science or related discipline from an accredited college or university is required; Strong experience working knowledge of NiFi is required; In-depth understanding of corporate dataflow and knowledge of common tools such as DX, ElasticSearch, Kibana; Intermediate knowledge of Linux and Docker; Knowledge of troubleshooting, maintenance, with specific attention to NiFi dataflows and NiFi cluster management; Python scripting; Experience with system integration, upgrade, and deployment activities; Experience working with systems that ingest large volumes of data; Experience with Elastic cluster management and deployment; Experience creating Kibana visualizations and dashboards and enhancing data analytic solutions

Nice to have

Knowledge and/or experience with the customer's analytic tools; Kubernetes; Kafka

Benefits

Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA; Comprehensive Dental insurance; Vision with 80% employer paid premium; Employer paid Life insurance 100%; Employer paid Short-term and Long-term disability 100%; Annual training, continued education, and professional memberships reimbursement; Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation; Annual reimbursement for technology i.e. phones, computers, printers, etc.; 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment); Professional development investment and paid time off for training; Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii; Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers; Leadership Team engagement and mentorship; Performance Recognition Program; Complimentary branded apparel