Leidos
Senior Data Flow Engineer (SWE-3)
Annapolis Junction, MD
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- Role family
- Engineering
- Seniority
- Senior
- Stated salary
- $25,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
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the posting
Leidos has a new and exciting opportunity for a Senior Data Flow Engineer in our Intel Sector’s Cyber & Analytics Business Area. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos , we offer competitive benefits , including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!
Job Summary:
Our program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact. Click here to learn more about how this program “Delivers Mission Success!”
Seeking a Senior Dataflow Engineer who will focus on system operations, troubleshooting, maintenance, with specific attention to NiFi dataflows and NiFi cluster management; some light Python scripting is required. The candidate will also support system integration, upgrade, and deployment activities. The majority of the time will be spent working with systems that ingest large volumes of data. Responsibilities will include Elastic cluster management and deployment, creating Kibana visualizations and dashboards, and enhancing data analytic solutions .
Qualified candidates are eligible for enhanced incentives including up to a $25K cash sign on bonus or a paid time off bonus.
Job Responsibilities/Qualifications:
- Mission Focus : Foundational processing and dataflow within operations; increasing efficiency and throughput
- Technical Proficiency : 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
- Qualifications : Bachelor's degree plus 8-years of relevant experience or equivalent.
- Security Clearance : Active TS/SCI with Polygraph required to be considered for this role.
- Desirable Skills : Knowledge and/or experience with the customer’s analytic tools; Kubernetes, Kafka.
At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you – apply today!
Careers.leidos.com
CONMD
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
June 24, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $131,300.00 - $237,350.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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