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ETL Developer

Job in Bethesda, Montgomery County, Maryland, 20811, USA
Listing for: Leidos
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 94470 - 157450 USD Yearly USD 94470.00 157450.00 YEAR
Job Description & How to Apply Below

Leidos has an exciting opportunity for an ETL Developer in our Intel Security Sector's Analysis Solutions 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!

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:
January 20, 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.

Job Description

We have an IMMEDIATE NEED for an ETL developer to play a pivotal role in shaping, and implementing cutting‑edge data flow solutions centered around Apache NiFi. The candidate will provide technical expertise and support in the design, development, implementation and testing of customer tools and applications in support of Extracting, Transforming and Loading (ETL) of data into an enterprise Data Lake.

The candidate will be responsible for following architectural best practices, and optimizing performance in large‑scale environments, ensuring the delivery of robust, scalable, and secure data flow solutions that drive critical customer needs. Based in a Dev Ops framework, the ETL Developer participates in the delivery of major projects through all aspects of the software development lifecycle.

Primary Responsibilities
  • Building complex NiFi data pipeline design:
    Develop and implement enterprise‑level ETL NiFi data pipelines for large‑scale data ingestion, transformation, and processing from diverse sources.
  • Performance optimization and tuning:
    Optimize NiFi data flows, including processor tuning, memory management, and load balancing, ensuring optimal performance for batch and real‑time processing.
  • Troubleshooting and problem resolution:
    Identify, diagnose, and resolve complex NiFi data flow issues, including performance bottlenecks, data discrepancies, and integration failures.
  • Integrating with big data and cloud technologies:
    Seamlessly integrate NiFi with various databases, big data ecosystems, and cloud platforms (e.g., AWS, OCI, Azure), demonstrating familiarity in relevant services (e.g., Kafka, Elasticsearch, S3, SQS/SNS).
  • Follow best practices and standards:
    Follow establish best practices for NiFi development, deployment, security, and governance, ensuring adherence to enterprise‑wide data management policies.
  • Documentation and knowledge sharing:
    Create and maintain comprehensive documentation for NiFi data flows, mappings, architectures, and standard operating procedures, ensuring knowledge transfer and promoting efficient team operations.
  • Collaboration and communication:
    Collaborate effectively with data architects, data engineers, application/service developers, and other stakeholders to translate business requirements into robust technical solutions.
Basic Qualifications
  • Direct experience designing, developing, and managing complex NiFi data flow solutions in large‑scale enterprise…
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