Senior Data Flow Engineer
Leidos is seeking a Senior Data Flow Engineer in the Intel Sector’s Cyber & Analytics Business Area.
Job Responsibilities
- Mission Focus: Foundational processing and dataflow within operations; increasing efficiency and throughput.
- Technical Proficiency: Strong experience and 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.
- Responsibilities include Elastic cluster management and deployment, creating Kibana visualizations and dashboards, and enhancing data analytic solutions.
- Support system integration, upgrade, and deployment activities, and troubleshoot and maintain NiFi dataflows and NiFi cluster management.
Qualifications
- Bachelor's degree plus 8‑years of relevant experience or equivalent.
- Active TS/SCI with Polygraph required.
- Knowledge and/or experience with the customer’s analytic tools; Kubernetes, Kafka.
Benefits
Competitive pay range: $131,300.00 – $237,350.00. Benefits include Paid Time Off, 11 paid Holidays, 401K with 6% company match, Flexible Schedules, Technical Upskilling, Education and Training Support, and Parental Paid Leave.
Commitment to Non‑Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
#J-18808-Ljbffr