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Data Platform Engineer Jobs in Alabama (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 ...

Sanmina Corporation

Platform Engineer

Huntsville, AL · On-site

Job Purpose The Platform Engineer will drive technical execution and operational excellence through ... lifecycle data. Responsibilities * Design, develop, test, deploy, maintain and improve software ...

Deploy

Data, Analytics & AI Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate ... What You'll Do Build Modern Data Platforms Design, build, and maintain scalable data pipelines ...

Socket.dev

Data Platform Architect

Hoover, AL · On-site

Works with developers to ensure that technical solutions align with the overall Information ... Oversees data integration and configuration * Provides consultation on the most complex projects

Adtran

Data Warehouse Developer

Huntsville, AL

$48.50 - $66.50/hr

... Engineer We are looking for an experienced Data Warehouse Developer / Data Engineer to design ... The ideal candidate combines strong technical expertise in modern data platforms with the ability ...

Adtran

Data Warehouse Developer

Huntsville, AL · On-site

$46 - $63/hr

... Engineer We are looking for an experienced Data Warehouse Developer / Data Engineer to design ... The ideal candidate combines strong technical expertise in modern data platforms with the ability ...

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All JobsData Platform Engineer JobsData Platform Engineer Jobs in Alabama

Data Platform Engineer information

See Alabama salary details

$40.3K

$117.6K

$160.9K

How much do data platform engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data platform engineer in Alabama is $117,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $124,600.00 per year, depending on experience, location, and employer.

What is a data platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the key skills and qualifications needed to thrive in the data platform engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What are the most commonly searched types of Data Platform Engineer jobs in Alabama?

The most popular types of Data Platform Engineer jobs in Alabama are:

What are popular job titles related to Data Platform Engineer jobs in Alabama?

For Data Platform Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Data Platform Engineer jobs in Alabama look for?

The top searched job categories for Data Platform Engineer jobs in Alabama are:

Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $117,573 per year, or $56.5 per hour.

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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