> Markdown version of [/jobs/ext/3539197-dataflow-engineer-senior-fully-cleared-with-polygraph-required-in-annapolis-junction](https://www.wearedevelopers.com/jobs/ext/3539197-dataflow-engineer-senior-fully-cleared-with-polygraph-required-in-annapolis-junction). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Dataflow Engineer (Senior) - FULLY CLEARED with POLYGRAPH REQUIRED in Annapolis Junction - **Company:** Energy Jobline - **Location:** Annapolis Junction, MD, United States - **Experience:** Expert - **Salary:** $10,000.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Big Data, Linux, Elasticsearch, Data Flow Control, Systems Integration, Scripting, Kubernetes, Information Technology, Apache Kafka, Apache Nifi, Kibana, Docker - **Published:** September 30, 2026 - **Apply:** https://www.energyjobline.com/job/dataflow-engineer-senior-fully-cleared-polygraph-required-annapolis-junction-31738619 ## About the Role * Must have TS/SCI clearance w/ active polygraph. * Eight (08) years of direct/relevant experience. * Bachelor's degree in computer science or related discipline from an accredited college or university is required. * Strong experience working knowledge of NiFi is required * In-depth understanding of corporate dataflow and knowledge of common tools such as DX, ElasticSearch, Kibana * Intermediate knowledge of Linux and Docker * Knowledge of troubleshooting, maintenance, with specific attention to NiFi dataflows and NiFi cluster management. * Python scripting * Experience with system integration, upgrade, and deployment activities. * Experience working with systems that ingest large volumes of data. * Experience with Elastic cluster management and deployment * Experience creating Kibana visualizations and dashboards and enhancing data analytic solutions. These Qualifications Would be Nice to Have: * Knowledge and/or experience with the customer's analytic tools; Kubernetes, Kafka