Data Engineer (Security Clearance Needed)

Data Engineer requires: Familiarity with Python, with experience in unit and integration testing. Experience supporting cyber or network operations environments Familiarity with Agile development environments Experience with Kubernetes, Docker, or containerized deployments Exposure to Apache Airflow Strong documentation and communication skills NEEDS SECURITY CLEARANCE At least 9 years experience, but 14+ years of experience is preferred in data engineering, software engineering, or related technical fields and a Bachelors in a related field. (Additional experience may be considered in lieu of a degree) Strong experience designing and building ETL pipelines and data ingestion frameworks Hands-on experience with Kafka, NiFi, and AWS (S3, SQS) Proficiency in Java with experience in unit and integration testing Solid understanding of data formats (JSON, XML, SQL schemas, compressed formats) Experience troubleshooting data pipelines, system performance, and dataflow issues DoD 8570 IAT II certification (or higher)

Data Engineer requires:

• Familiarity with Python, with experience in unit and integration testing.

Familiarity with Python, with experience in unit and integration testing.

• Experience supporting cyber or network operations environments

Experience supporting cyber or network operations environments

• Familiarity with Agile development environments

Familiarity with Agile development environments

• Experience with Kubernetes, Docker, or containerized deployments

Experience with Kubernetes, Docker, or containerized deployments

• Exposure to Apache Airflow

Exposure to Apache Airflow

• Strong documentation and communication skills

Strong documentation and communication skills

• NEEDS SECURITY CLEARANCE

NEEDS SECURITY CLEARANCE

• At least 9 years experience, but 14+ years of experience is preferred in data engineering, software engineering, or related technical fields and a Bachelors in a related field. (Additional experience may be considered in lieu of a degree)

At least 9 years experience, but 14+ years of experience is preferred in data engineering, software engineering, or related technical fields and a Bachelors in a related field. (Additional experience may be considered in lieu of a degree)

• Strong experience designing and building ETL pipelines and data ingestion frameworks

Strong experience designing and building ETL pipelines and data ingestion frameworks

• Hands-on experience with Kafka, NiFi, and AWS (S3, SQS)

Hands-on experience with Kafka, NiFi, and AWS (S3, SQS)

• Proficiency in Java with experience in unit and integration testing

Proficiency in Java with experience in unit and integration testing

• Solid understanding of data formats (JSON, XML, SQL schemas, compressed formats)

Solid understanding of data formats (JSON, XML, SQL schemas, compressed formats)

• Experience troubleshooting data pipelines, system performance, and dataflow issues

Experience troubleshooting data pipelines, system performance, and dataflow issues

• DoD 8570 IAT II certification (or higher)

DoD 8570 IAT II certification (or higher)