Data Platform Engineer

Job Title: Data Platform Engineer
Reference: 26-016
Job Type: Full-time
Job Status: Interviewing
Date Posted: 08-11-2026
Location: Huntsville
Duration: Permanent
Company Address: Cohesion Force, Inc.
Street: 101 Quality Circle
Suite: Suite 140
City: Huntsville, AL 35806
Website:

Cohesion Force is actively seeking candidates for a Data Platform Engineer to become part of our team in Huntsville, AL. This individual will design, deploy, and support data services used by engineering applications, automated workflows, analytics, and AI-enabled capabilities. The engineer will provide reliable orchestration, storage, database, lineage, and data-access patterns while making the platform easier for software teams and users to operate.

• – Deploy and operate workflow orchestration, object storage, relational database, and graph database services in Kubernetes or Open Shift.
• – Build reusable data ingestion, transformation, validation, publication, and access patterns.
• – Design data lifecycle, retention, schema migration, backup, restore, and recovery procedures.
• – Develop self-service capabilities that allow teams to create and operate repeatable data workflows.
• – Implement access controls, service identities, secret handling, and least-privilege data access with identity and platform engineers.
• – Diagnose data quality, lineage, workflow, database, storage, performance, and availability issues.
• – Automate deployment and configuration using Python, SQL, Git Ops, infrastructure as code, Helm, and CI/CD.
• – Instrument data services with logs, metrics, traces, health checks, and service-level indicators.
• – Develop technical documentation, data contracts, operating procedures, and recovery runbooks.
• – Work directly with software, AI, reliability, and customer teams to translate data needs into supportable platform capabilities.

• – Bachelor’s degree in an engineering, computer science, cybersecurity, information technology or a related discipline, or equivalent experience and combined education, with 5 years of experience, or relevant professional experience; or 3 years with a related Master’s degree.
• – Experience designing and operating production data platforms or distributed data services.
• – Experience with Python, SQL, data modeling, APIs, and automated data workflows.
• – Experience with Kubernetes or Open Shift, containers, Linux, and CI/CD.
• – Experience with object storage and at least one relational, document, or graph database technology.
• – Experience with data quality, lineage, access control, backup, restore, and operational troubleshooting.
• – Ability to communicate technical information clearly and document repeatable procedures.
• – Works well in a fast-paced collaborative team environment.
• – Must be willing to work onsite in a closed/classified area.
• – Active Department of Defense (DoD) Secret clearance.

• – Experience with Dagster, Airflow, Prefect, or a comparable orchestration platform.
• – Experience with S3-compatible object storage and distributed storage systems.
• – Experience with graph databases, knowledge graphs, provenance, or evidence management.
• – Experience with PostgreSQL and database lifecycle automation.
• – Experience with Helm, Kustomize, Argo CD, Terraform, or Ansible.
• – Experience supporting data services in disconnected or access-controlled environments.
• – Strong oral and written communication skills.
• – Strong interpersonal and collaboration skills.