ZipRecruiter

Log In

1

From Home Data Platform Engineer Jobs in Alabama

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

... lifecycle data. Responsibilities * Design, develop, test, deploy, maintain and improve software ... Strong problem-solving skills and ability to think critically, from first principles * Excellent ...

Transform9

Core Platform Engineer

Birmingham, AL · On-site +1

About the role The Core Platform team is the heartbeat of Transform9 - it owns every inbound and ... If you're in the Birmingham, AL area, this role is hybrid from our office (3 days in office / 2 ...

Transform9

Core Platform Engineer

Birmingham, AL · On-site +1

About the role The Core Platform team is the heartbeat of Transform9 - it owns every inbound and ... If you're in the Birmingham, AL area, this role is hybrid from our office (3 days in office / 2 ...

Huntington

ServiceNow Platform Engineer

Hoover, AL · On-site

The ServiceNow Platform Engineer provides technical and consultative support on the most complex ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

Huntington

ServiceNow Platform Engineer

Birmingham, AL · On-site

The ServiceNow Platform Engineer provides technical and consultative support on the most complex ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

Deploy

Data, Analytics & AI Engineer

Birmingham, AL · On-site

$107K - $128K/yr

What You'll Do Build Modern Data Platforms Design, build, and maintain scalable data pipelines ... Integrate data from ERP, EHS, operational, and enterprise systems. Develop and manage curated data ...

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... Most employees hold Home-Flex roles, working primarily from home, often with the flexibility to ...

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 ...

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 ...

next page

Showing results 1-20

All JobsData Platform Engineer JobsFrom Home Data Platform Engineer JobsFrom Home Data Platform Engineer Jobs in Alabama

From Home Data Platform Engineer information

What is a from home data platform engineer?

From Home Data Platform Engineers are professionals who design, build, and maintain the infrastructure and tools that allow organizations to collect, store, process, and analyze large volumes of data, all while working remotely. They work with cloud platforms, databases, and data pipelines to ensure data is accessible, reliable, and secure for business needs. Their role often involves collaborating with data scientists, analysts, and other engineers to support data-driven decision-making and optimize data workflows from a home office or remote location.

What are the key skills and qualifications needed to thrive as a from home data platform engineer?

To thrive as a From Home Data Platform Engineer, you need a strong background in computer science, data architecture, and cloud platforms, often supported by a relevant degree and experience with large-scale data systems. Proficiency with technologies like SQL, Python, Spark, Hadoop, and cloud services such as AWS, Azure, or GCP, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills ensure reliable, scalable data infrastructure and seamless collaboration, which are critical to supporting business analytics and decision-making remotely.

What are some common challenges faced by a from home data platform engineer, and how can they be addressed?

As a From Home Data Platform Engineer, you may encounter challenges such as managing complex data pipelines remotely, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it’s important to utilize robust version control systems, follow best practices for data governance, and leverage collaboration tools like Slack or Jira for regular updates and troubleshooting. Additionally, setting up secure remote access and automated monitoring can help maintain the integrity and performance of data platforms while working from home.

What is the difference between From Home Data Platform Engineer vs From Home Data Analyst?

AspectFrom Home Data Platform EngineerFrom Home Data Analyst
Primary RoleDesigning, building, and maintaining data infrastructure and platformsAnalyzing data to generate insights and reports
Skills & CertificationsData engineering, SQL, cloud platforms, programming (Python, Java)Data analysis, SQL, visualization tools, statistical knowledge
Work EnvironmentCollaborates with data engineers, software developers, often in cloud environmentsWorks with business teams, data visualization tools, and reporting platforms
Industry UsageTech, finance, healthcare, where data infrastructure is criticalMarketing, sales, finance, and other sectors focusing on data insights

In summary, From Home Data Platform Engineers focus on building and maintaining the data infrastructure, while From Home Data Analysts interpret data to support business decisions. Both roles require strong SQL skills but differ in technical depth and focus areas.

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 cities in Alabama are hiring for From Home Data Platform Engineer jobs?

Cities in Alabama with the most From Home Data Platform Engineer job openings:

From Home Data Platform Engineer jobs near you

Data Platform Engineer

Huntsville, AL • On-site

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

$109K - $131K/yr

Other

Posted 24 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.
#J-18808-Ljbffr

Apply