Data Engineer SME - PRIME, Hybrid - TS/SCI

stanleyreid•San Antonio, TX

5d•Hybrid

About The Position

Stanley Reid is 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

At least 14 years of experience in Software Engineering, Data Engineering, or Database Engineering.
Fluency in data extraction, custom translation development, and loading (ETL).
Significant experience with Java (including unit/integration testing), Python, and SQL.
Expertise in Apache NiFi (administration and troubleshooting) and data flow solutions like Kafka and AWS S3/SQS.
Proficiency with Linux OS (BASH), Maven, GitLab, and YAML for schema configuration.
Must be certified DoD IAT II or higher (Sec+, etc).
Familiarity with cyber/network security operations and various log formats (JSON, XML).
Ability to lead a department.
Ability to decompose complex technical problems.
Ability to work effectively in Agile environments.
An active TS/SCI clearance is required.

Nice To Haves

Experience with Kubernetes and Docker is a plus.
An additional 4 years of relevant experience can substitute for a BS degree.

Responsibilities

Support the ingestion of mission-critical and mission-support data sets into a big data environment.
Focus on software infrastructure for big-data-scaled ingestion.
Understand new data sources.
Implement testing.
Establish monitoring.
Lead the department in achieving strategic goals.
Ensure data integrity.
Foster a collaborative, innovative work environment.