ETL Developer (SME)

Leidos has a new and exciting opportunity for an ETL Developer SME in our National Security Sectors (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.

• Masters 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 dont want someone who fits the moldwe want someone who melts it down and builds something better. This is a role for the restless the over-caffeinated the ones who ask whats next before the dust settles on whats now.

If youre already scheming step 20 while everyone else is still debating step 2 good. Youll fit right in.

Original Posting:

Pay Range:

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.