Software Engineer

Location: Chantilly, VA

Work Location: onsite

• Design, implement, and maintain real-time data ingestion and ETL pipelines.
• Manage and maintain Apache NiFi clusters running as containerized workloads in Kubernetes.
• Manage other components of our data infrastructure, such as Apache Kafka, as required.
• Analyze new data sources and integrate them into our data pipeline.
• Collaborate with other teams to ensure successful integration of data infrastructure with existing systems.
• 5+ years' of experience in software and data engineering.
• Proficiency in at least one or more high-level programming languages (e.g., Java, Python, C/C++).
• Experience working with Linux-based servers and systems.
• Experience with at least one modern database (e.g., PostgreSQL), ETL (e.g., Apache NiFi), or Data Science (e.g., MapReduce) technology.
• Ability to work both independently and in a collaborative team environment.
• Excellent verbal and written communication skills.

• Experience with AWS services (e.g., S3).
• Experience with containerizing applications using Docker and deploying them to a container orchestration platform (e.g., Kubernetes).
• Experience with PostgreSQL.
• Experience with Apache Kafka.
• Experience with GeoServer or Open Geospatial Consortium (OGC) standards.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Elasticsearch, Kibana).
• Experience with CI/CD tools (e.g., Helm, Harbor, ArgoCD, Jenkins).
• Experience with Agile methodologies.

• Bachelor’s Degree in computer science, data science, engineering, math, statistics, operations research, or related field.

• DoD 8570 IAT level 3 (CompTIA Security+) compliant.
• AWS certification (e.g., AWS Solutions Architect Associate or Professional).

• Current TS/SCI eligibility, with a current CI Poly.
• U.S. Citizenship is required for this position.