At Leidos, we deliver innovative solutions by leveraging our diverse and talented workforce who are dedicated to our customer’s success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.
If this sounds like an environment where you can thrive, keep reading!
Do you thrive working in small teams that collaborate closely with customers? Are you intrigued by big data? Our prototype development program is seeking someone with a strong mission focus who is passionate about new development and rapid prototyping. We want someone who can help us discover smarter, innovative approaches to support mission operations, discover new analytics, enhance tradecraft, and much more!
Our LOE 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.
Your greatest work is ahead!
If you’re a talented Dataflow Engineer with a TS/SCI polygraph clearance, we want to hear from you. The Leidos National Security Sector is looking for someone like you to join our team in the Fort Meade, MD area. As part of this highly visible and fast-paced prime contract, you'll enjoy a competitive benefits package including four or more weeks of Paid Time Off, Flexible Schedules, Discounted Stock Purchase Plans, Education and Training Support, Parental Paid Leave, and more! Don't miss out on this incredible opportunity to take your career to the next level. Apply today and join one of the most dynamic teams in the industry.
Are you ready to join a team dedicated to a mission? Begin your journey of a flourishing and meaningful career, share your resume with us today!
Your Main Objective: The Dataflow Engineer will focus on system operations, troubleshooting, maintenance, and specifically managing NiFi dataflows, NiFi cluster management, and some light Python scripting. 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.
Security Clearance Requirement:
- Must possess an active TS/SCI clearance with polygraph to be considered for this role.
What Sets You Apart:
- Bachelor's degree plus 8-years of relevant experience or Master’s degree plus 6-years of relevant experience. An Associate’s degree plus 10-years of relevant experience or high school diploma/GED plus 12-years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
- Computer Science (CS) degree or related field.
- Strong working knowledge of NiFi is required.
- In-depth understanding of corporate dataflow and knowledge of common dataflow tools such as DX, ElasticSearch, Kibana.
- Intermediate knowledge of Linux and Docker.
- Python scripting.
You Might Also Have:
- Knowledge and/or experience with 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!
Original Posting Date: 2024-10-04
Pay Range: Pay Range $122,200.00 - $220,900.00
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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