Job Requirements
Remote
Secret Polygraph not specified
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
DATA & ANALYTICS | ACTIVE SECRET CLEARANCE REQUIRED | U.S. CITIZENSHIP REQUIRED | FULLY REMOTE (CONUS) | APPROXIMATELY 32 HOURS PER WEEK
ABOUT THE ROLE
D9Tech Resources is sourcing a cleared Data Engineer to build and sustain a data lake on AWS. The work sits where storage, movement, and governance meet: you will land raw data, shape it into something analysts can actually query, and keep the pipelines that do it running clean. Ingestion is only half the job. The other half is making the environment repeatable, so that infrastructure ships as code and compliance evidence is produced by the pipeline rather than reconstructed after the fact.
This is a hands-on engineering seat, not an advisory one. The right candidate has written Glue jobs that failed, debugged them, and shipped the fix. If you are comfortable in a Terraform module and equally comfortable explaining a schema decision to a data consumer who does not care how it was built, this posting was written for you.
WHAT YOU WILL DO
● Build and operate the data lake. Design S3-backed storage layers, partitioning strategies, and catalog structure that keep query cost and query time under control as volume grows.
● Own the ETL. Develop, schedule, and tune AWS Glue jobs and crawlers, and support the surrounding data processing workflow end to end, from source ingestion through curated output.
● Ship infrastructure as code. Write and maintain Terraform for the lake, the pipelines, and the supporting AWS services, keeping environments consistent and changes reviewable.
● Automate compliance. Codify security and configuration requirements so controls are enforced and evidenced automatically instead of checked by hand.
● Guard data quality. Build validation, monitoring, and alerting into the pipelines, then act on what they surface.
● Document what you build. Maintain data flow diagrams, runbooks, and schema documentation that survive your absence.
● Partner across the mission. Work with analysts, application teams, and security stakeholders to translate data requirements into working pipelines.
REQUIRED QUALIFICATIONS
● Active Secret clearance.
● U.S. citizenship.
● Hands-on experience designing, building, or operating a data lake in AWS, including S3 storage design, partitioning, and cataloging.
● Demonstrated ETL and data processing depth with AWS Glue, including job development, crawlers, and the AWS Glue Data Catalog.
● Working proficiency with Terraform for provisioning and maintaining AWS infrastructure.
● Python or PySpark for data transformation work.
● Comfort operating independently in a fully remote, distributed team.
PREFERRED QUALIFICATIONS
● Compliance as Code experience: policy, control, and configuration enforcement expressed and validated through automation.
● Additional AWS analytics services such as Athena, Lake Formation, Redshift, EMR, Step Functions, Kinesis, or Lambda.
● CI/CD pipeline experience for data and infrastructure deployments.
● AWS certification such as Data Engineer Associate, Solutions Architect Associate, or Data Analytics Specialty.
● Prior delivery on a Federal or Department of Defense program, and familiarity with NIST SP 800-53 or DoD security requirements.
● CompTIA Security+ (Sec+ CE) or an equivalent DoD 8140 baseline certification.
WORKING ENVIRONMENT AND SCHEDULE
The role is fully remote within the continental United States. Expected effort is approximately 32 hours per week. Because the work supports a cleared program, the selected engineer must hold and maintain an active Secret clearance for the duration of the assignment, and clearance eligibility is verified before any offer is extended.
ABOUT THE ROLE
D9Tech Resources is sourcing a cleared Data Engineer to build and sustain a data lake on AWS. The work sits where storage, movement, and governance meet: you will land raw data, shape it into something analysts can actually query, and keep the pipelines that do it running clean. Ingestion is only half the job. The other half is making the environment repeatable, so that infrastructure ships as code and compliance evidence is produced by the pipeline rather than reconstructed after the fact.
This is a hands-on engineering seat, not an advisory one. The right candidate has written Glue jobs that failed, debugged them, and shipped the fix. If you are comfortable in a Terraform module and equally comfortable explaining a schema decision to a data consumer who does not care how it was built, this posting was written for you.
WHAT YOU WILL DO
● Build and operate the data lake. Design S3-backed storage layers, partitioning strategies, and catalog structure that keep query cost and query time under control as volume grows.
● Own the ETL. Develop, schedule, and tune AWS Glue jobs and crawlers, and support the surrounding data processing workflow end to end, from source ingestion through curated output.
● Ship infrastructure as code. Write and maintain Terraform for the lake, the pipelines, and the supporting AWS services, keeping environments consistent and changes reviewable.
● Automate compliance. Codify security and configuration requirements so controls are enforced and evidenced automatically instead of checked by hand.
● Guard data quality. Build validation, monitoring, and alerting into the pipelines, then act on what they surface.
● Document what you build. Maintain data flow diagrams, runbooks, and schema documentation that survive your absence.
● Partner across the mission. Work with analysts, application teams, and security stakeholders to translate data requirements into working pipelines.
REQUIRED QUALIFICATIONS
● Active Secret clearance.
● U.S. citizenship.
● Hands-on experience designing, building, or operating a data lake in AWS, including S3 storage design, partitioning, and cataloging.
● Demonstrated ETL and data processing depth with AWS Glue, including job development, crawlers, and the AWS Glue Data Catalog.
● Working proficiency with Terraform for provisioning and maintaining AWS infrastructure.
● Python or PySpark for data transformation work.
● Comfort operating independently in a fully remote, distributed team.
PREFERRED QUALIFICATIONS
● Compliance as Code experience: policy, control, and configuration enforcement expressed and validated through automation.
● Additional AWS analytics services such as Athena, Lake Formation, Redshift, EMR, Step Functions, Kinesis, or Lambda.
● CI/CD pipeline experience for data and infrastructure deployments.
● AWS certification such as Data Engineer Associate, Solutions Architect Associate, or Data Analytics Specialty.
● Prior delivery on a Federal or Department of Defense program, and familiarity with NIST SP 800-53 or DoD security requirements.
● CompTIA Security+ (Sec+ CE) or an equivalent DoD 8140 baseline certification.
WORKING ENVIRONMENT AND SCHEDULE
The role is fully remote within the continental United States. Expected effort is approximately 32 hours per week. Because the work supports a cleared program, the selected engineer must hold and maintain an active Secret clearance for the duration of the assignment, and clearance eligibility is verified before any offer is extended.
group id: 90970085