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Data Platform Developer Jobs (NOW HIRING)

CohesionForce, Inc

Data Platform Engineer

Huntsville, AL · On-site

$109K - $131K/yr

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 ...

HARMAN International

Data Platform Lead

Novi, MI · On-site

Engineer audio systems and integrated technology platforms that augment the driving experience ... The Data Platform Lead works closely with the Data Platform Portfolio Manager, Enterprise ...

Coastal

Data Platform Engineer

$117K - $140K/yr

Data Platform Engineer We are looking for a Data Platform Engineer to help us support our continued growth. A Data Platform Engineer facilitates discovery sessions to understand client processes and ...

Quantix

Data Platform Engineer

San Francisco, CA

$134K - $162K/yr

Data Platform Engineer Location: San Francisco, CA Type: Direct Hire Our client in the San Francisco, CA area is looking for a Data Platform Engineer to join their team on a direct hire basis. This ...

AI Chopping Block

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes ...

AI Chopping Block

$84K - $101K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes ...

Coastal Equities, Inc.

Data Platform Engineer

$117K - $140K/yr

Data Platform Engineer We are looking for a Data Platform Engineer to help us support our continued growth. A Data Platform Engineer facilitates discovery sessions to understand client processes and ...

Judge Group, Inc.

Data Platform Architect

Harrisburg, PA · On-site

$90 - $100/hr

This role is responsible for defining platform architecture, establishing engineering standards, implementing secure cloud-native data services, and enabling enterprise-wide adoption of reusable data ...

Worth

Data Platform Engineer

Orlando, FL · On-site

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes ...

Banc of California

Data Platform Engineer

Durham, NC · On-site

$37.50 - $56.49/hr

Support CI/CD deployments using Azure DevOps, GitHub, and Git-based development practices ... Provide platform support for enterprise data tools including Power BI, Microsoft Purview, and ...

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Data Platform Developer information

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How much do data platform developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for data platform developer in the United States is $35.91, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $58.89 per hour, depending on experience, location, and employer.

What is the difference between Data Platform Developer vs Data Engineer?

AspectData Platform DeveloperData Engineer
Primary FocusDesigning and developing data platforms and infrastructureBuilding and maintaining data pipelines and workflows
Skills & CertificationsSQL, cloud platforms, data architecture, certifications like AWS or AzureETL tools, programming (Python, Java), cloud skills, certifications in data engineering
Work EnvironmentCollaborates with data scientists, analysts, and IT teamsWorks closely with data analysts, software engineers, and infrastructure teams
Industry UsageUsed across industries for data platform development and managementCommonly employed for building scalable data pipelines in tech, finance, healthcare

While both roles involve working with data infrastructure, Data Platform Developers focus on creating and maintaining the overall data platforms, whereas Data Engineers primarily build and optimize data pipelines. Both roles require strong technical skills and often overlap, but their core responsibilities differ in scope and focus.

What states have the most Data Platform Developer jobs?

States with the most job openings for Data Platform Developer jobs include:

What are popular job titles related to Data Platform Developer jobs?

For Data Platform Developer jobs, the most frequently searched job titles are:

Data Platform Engineer

Huntsville, AL • On-site

CohesionForce, Inc
Software Development • 11 - 50 employees
Learn more about CohesionForce, Incexternal

$109K - $131K/yr

Other

Posted 23 days ago

Key responsibilities

  • Design, deploy, and support data services such as workflow orchestration, object storage, relational, and graph databases.

  • Build reusable data ingestion, transformation, validation, publication, and access patterns.

  • Diagnose data quality, lineage, workflow, database, storage, performance, and availability issues.

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.
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