Data Platform Engineer

CohesionForce, Inc; Huntsville (AL); On-site; USD 110,000 - 150,000; Full time

Job summary

CohesionForce, Inc in Huntsville, AL is seeking a Data Platform Engineer to design, deploy, and support data services used by engineering applications, analytics, and AI-enabled capabilities. You will ensure reliable orchestration, storage, lineage, and secure data access, while enabling software teams to operate repeatable data workflows.

Collaborate with software, AI, reliability, and customer teams to translate data needs into scalable platform capabilities, with on-site work in a classified

Qualifications

• Bachelor’s degree or equivalent with 5 years of 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 and hold DoD Secret clearance.

Responsibilities

• 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.

Skills

Communication

Teamwork

Onsite work

Documentation

Education

Bachelor’s degree in engineering, computer science, cybersecurity, information technology or related discipline

Tools

Python

SQL

Kubernetes/OpenShift

Linux

CI/CD

Object storage

Relational/Document/Graph DB

Data modeling

Job description

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.

Responsbilities 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.