ETL Java Developer

Job Summary

As an ETL Java developer you will provide Agile Dev Ops support to mission‑critical systems. On this program, you will have the opportunity to build strong systems, software, and cloud environments and provide operations and maintenance for critical systems. 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 data into an enterprise data lake.

Based in a Dev Ops framework, you will participate in and/or direct major deliverables of projects through all aspects of the software development lifecycle including scope and work estimation, architecture and design, coding and unit testing. This role requires the development of custom code/scripts to quickly extract, triage, and exploit data across domains and data stores.

• Building 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 NiFi data flow issues, including performance bottlenecks, data discrepancies, and integration failures.
• Follow best practices and standards:
  Follow established 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.

• Experience developing and managing NiFi data flow solutions in enterprise environments.
• Experience in programming languages like Java and/or Python and scripting for automation.
• Experience with cloud platforms like AWS, Azure, or OCI and related data services.
• Ability to analyze data challenges, identify root causes, and implement effective solutions.
• Ability to collaborate effectively with cross‑functional teams and articulate technical concepts clearly.
• Bachelor’s with 2‑4 years of prior relevant experience. Additional years of experience may be substituted in‑lieu of a degree.
• To be considered must have an active TS/SCI with polygraph security clearance.

• Experience deploying ETL solutions in an AWS environment.
• Experience writing queries, along with experience in interacting with relational or No
  
  SQL databases (e.g., Postgres, Elasticsearch, Dynamo
  
  DB).
• Experience with API integration (REST) for seamless data connectivity.
• Experience developing custom NiFi processors with Java and/or Python.
• Direct knowledge of NiFi architecture, processors, and configurations, along with hands‑on experience with NiFi Registry and clustering for high availability and scalability.

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.

Pay Range $69,550.00 - $

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.