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:          CohesionForce, Inc.
Street:                                     101 Quality Circle
Suite:                                       Suite 140
City:                                         Huntsville, AL 35806
Website:                                  http://www.CohesionForce.com

Job Description:

CohesionForce 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.

                        Responsbibilities include:

– Deploy and operate workflow orchestration, object storage, relational database, and graph database services in Kubernetes or OpenShift.
– 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, GitOps, 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.

Basic Qualifications:

– 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 OpenShift, 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. 

Preferred Qualifications:

– 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.