SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Voyager Space is seeking a Senior DataOps Engineer to design, build, and operationalize data infrastructure powering the organization's analytics and business intelligence capabilities. This role sits at the intersection of data engineering, cloud architecture, and DevOps, owning end-to-end data pipelines, platform reliability, data quality, and cloud infrastructure in a regulated, defense-focused environment.
Key responsibilities include leading the end-to-end migration of data workloads from AWS Commercial to AWS GovCloud, including S3, Glue, Redshift, IAM, VPC, Lambda, and CloudWatch. You will identify and resolve service parity gaps between commercial and GovCloud environments, validate data integrity, encryption posture, and access controls post-migration. The role requires setting up and administering enterprise Git repositories (GitHub, Azure DevOps, or GitLab) for the data and analytics team, including branching strategy, access controls, and code review workflows.
You will migrate existing scripts, pipelines, and artifacts into version-controlled repositories and enforce DataOps source control best practices across the team. Ensuring all migrated and provisioned resources comply with NIST 800-171, DFARS, CUI, and ITAR/EAR handling requirements is critical. The ideal candidate is fluent in hands-on coding with Python or PowerShell, experienced with infrastructure-as-code tools (Terraform, CloudFormation, Ansible), and comfortable owning both data engineering and cloud infrastructure responsibilities in a cleared, compliance-driven environment.
This is a remote position based in the US requiring the ability to obtain a US Government Clearance. The role offers the opportunity to work on mission-critical solutions in space, defense, and national security technology.
