Data Engineer SME - PRIME, Hybrid - TS/SCI
Role details
Job location
Tech stack
Job description
We are seeking a SME-level Data Engineer to support the ingestion of mission-critical and mission-support data sets into a big data environment. This role is pivotal in supporting cyber and network-related missions within military spaces. As a senior member of the team, you will focus on software infrastructure for big-data-scaled ingestion - including understanding new data sources, implementing testing, and establishing monitoring. Additionally, you will lead the department in achieving strategic goals, ensuring data integrity, and fostering a collaborative, innovative work environment.
Requirements
Experience: At least 14 years of experience in Software Engineering, Data Engineering, or Database Engineering. (+4 additional years of relevant experience can substitute for a BS degree). Technical Core: Fluency in data extraction, custom translation development, and loading (ETL). You should have significant experience with Java (including unit/integration testing), Python, and SQL. Big Data Tools: Expertise in Apache NiFi (administration and troubleshooting) and data flow solutions like Kafka and AWS S3/SQS. Infrastructure & DevOps: Proficiency with Linux OS (BASH), Maven, GitLab, and YAML for schema configuration. Experience with Kubernetes and Docker is a plus. Certification: Must be certified DoD IAT II or higher (Sec+, etc) Mission Knowledge: Familiarity with cyber/network security operations and various log formats (JSON, XML). Soft Skills: Ability to lead a department, decompose complex technical problems, and work effectively in Agile environments.
*Please note: Applicants may be required to complete a coding challenge during the interview process per customer requirements.
Clearance Requirements An active TS/SCI is required for consideration. Please note, you must have the required clearance - under or non-cleared applicants will not receive a response.