{"id":3416139,"url":"https://alion.io/job/ideal-innovations-principal-etl-developer","title":"Principal ETL Developer","company":{"id":3854329,"name":"Ideal Innovations","domain":"idealinnovations.com","url":"https://alion.io/company/ideal-innovations","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bethesda, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":131300,"max":201748,"currency":"USD","period":"year","gross":null,"usd_annual":201748},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Apache NiFi","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"DynamoDB","optional":false},{"name":"ElasticSearch","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false}],"status":"live","first_seen_at":"2026-10-28T16:23:57Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-02T02:12:33Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Highlights:\nWe are looking for an ETL developer to play a pivotal role in shaping, and implementing cutting-edge data flow solutions centered around Apache NiFi.\nDesign and optimize complex NiFi data pipelines, supporting both batch and real-time processing through performance tuning, memory management, and load balancing.\nIntegrate across big data and cloud technologies, connecting NiFi with platforms and services such as AWS, Azure, OCI, Kafka, Elasticsearch, S3, and SQS/SNS.\nContribute across the full software development lifecycle within a DevOps framework, supporting the design, development, implementation, and testing of customer tools and applications.\nSolve complex data and integration challenges, collaborating with data architects, data engineers, developers, and other stakeholders to deliver robust, scalable, and secure solutions supporting critical customer needs.\nTypical Day:\nThe 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 DevOps framework, the ETL Developer participates in the delivery of major projects through all aspects of the software development lifecycle.\nTasks:\nArchitecting 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.\nPerformance optimization and tuning: Optimize NiFi data flows, including processor tuning, memory management, and load balancing, ensuring optimal performance for batch and real-time processing.\nAdvanced troubleshooting and problem resolution: Identify, diagnose, and resolve complex NiFi data flow issues, including performance bottlenecks, data discrepancies, and integration failures.\nIntegrating 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).\nDefining best practices and standards: Establish best practices for NiFi development, deployment, security, and governance, ensuring adherence to enterprise-wide data management policies.\nDocumentation 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.\nCollaboration 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.\nMentorship and team leadership: Mentor junior developers, provide technical guidance, conduct code reviews, and foster a collaborative learning environment.\nRequired Qualifications:\nTo be considered, must have an active TS/SCI with polygraph security clearance\nEducation: Bachelor's degree with 12 or more years of prior relevant experience or Master's degree with 10 or more years of relevant experience. Additional years of experience may be substituted in lieu of a degree.\nThe ideal candidate will possess:In-depth experience designing, developing, and managing complex NiFi data flow solutions in large-scale enterprise environments.\nIn-depth knowledge of NiFi architecture, processors, and configurations, along with hands-on experience with NiFi Registry and clustering for high availability and scalability.\nProficiency in programming languages like Java and Python for custom NiFi processor development and scripting for automation.\nProficiency writing and optimizing complex queries, along with experience in managing relational and NoSQL databases (e.g., Postgres, Elasticsearch, DynamoDB).\nDirect experience with real-time streaming, and API integration (REST) for seamless data connectivity.\nDirect experience with cloud platforms like AWS, Azure, or OCI and related data services\nStrong ability to analyze complex data challenges, identify root causes, and implement effective solutions.\nStrong ability to collaborate effectively with cross-functional teams, articulate technical concepts clearly, and provide effective mentorship.\n\nDesired Qualifications:\nIn-depth experience deploying ETL solutions in an AWS environment.\nPosition Type Shift Information:\nMon-Fri, 40 hr work week\nCitizenship & Clearance: US Citizenship and TS/SCI with a Full-Scope Polygraph (FSP) Required\nLocation: Onsite- Bethesda, MD\n\nIdeal Innovations, Inc. is an Equal Opportunity Employer: \nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status. \nIdeal Innovations, Inc. is a VEVRAA Federal Contractor 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