ETL Developer (SME)

Description

Leidos has a new and exciting opportunity for an ETL Developer SME in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). 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 Description

We have an IMMEDIATE NEED for an ETL developer to play a pivotal role in shaping, leading, 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 defining architectural best practices, optimizing performance in large-scale environments, and mentoring junior developers, ensuring the delivery of robust, scalable, and secure data flow solutions that drive critical customer needs. Based in a DevOps framework, the ETL Developer participates in and directs major deliverables of projects through all aspects of the software development lifecycle.

Primary Responsibilities:

• Architecting and leading complex NiFi data pipeline design: Design and develop enterprise-level ETL architectures and implement NiFi data pipelines for large-scale data ingestion, transformation, and processing from diverse sources.

• Performance optimization and tuning: Lead the optimization of NiFi data flows, including processor tuning, memory management, and load balancing, ensuring optimal performance for batch and real-time processing.

• Advanced 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 expertise in relevant services (e.g., Kafka, Elasticsearch, S3, SQS/SNS).

• Defining best practices and standards: Lead the establishment of 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 and effectively communicate complex technical concepts to both technical and non-technical audiences.

• Mentorship and team leadership: Mentor junior developers, provide technical guidance, conduct code reviews, and foster a collaborative learning environment.

Basic Qualifications:

• Extensive experience designing, developing, and managing complex NiFi data flow solutions in large-scale enterprise environments.

• Extensive knowledge of NiFi architecture, processors, and configurations, along with hands-on experience with NiFi Registry and clustering for high availability and scalability.

• Proficiency in programming languages like Java and Python for custom NiFi processor development and scripting for automation.

• Proficiency writing and optimizing complex queries, along with experience in managing relational and NoSQL databases (e.g., Postgres, Elasticsearch, DynamoDB).

• In-depth experience with real-time streaming, and API integration (REST) for seamless data connectivity.

• In-depth experience with cloud platforms like AWS, Azure, or OCI and related data services

• Strong ability to analyze complex data challenges, identify root causes, and implement effective solutions.

• Strong ability to collaborate effectively with cross-functional teams, articulate technical concepts clearly, and provide effective mentorship.

• Master's degree with 15 or more years of prior relevant experience or Doctorate with 13 or more years of relevant experience. Will consider experience in lieu of a degree.

• To be considered must have an active TS/SCI with polygraph security clearance

Preferred Qualifications:

• Extensive experience deploying ETL solutions in an AWS environment.

• Relevant certifications in data engineering or cloud platforms (e.g., AWS Certified Big Data - Specialty, Google Cloud Professional Data Engineer ).

CABARESTON

At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "what's next?" before the dust settles on "what's now."

If you're already scheming step 20 while everyone else is still debating step 2... good. You'll fit right in.

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.

The Leidos pay range for this job level is a general guideline onlyand 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.