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Remote Data Platform Engineer Jobs in Oklahoma (NOW HIRING)

micro1 AI

Bioinformatics Software Engineer

Edmond, OK · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... discovery platforms. * Evaluate compound-target interactions, ADMET properties, and lead ...

Volt Labs Inc.

Senior QA Engineer

Tulsa, OK · On-site +1

$115K - $140K/yr

Our platform helps companies navigate messaging compliance, onboarding, deliverability, routing ... We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ...

Volt, Inc

Senior QA Engineer

Tulsa, OK · On-site +1

$115K - $140K/yr

Our platform helps companies navigate messaging compliance, onboarding, deliverability, routing ... We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care ...

Interstates

Productivity Engineer

Muskogee, OK · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Make better decisions with clearer data * Reduce avoidable rework and downtime * Improve planning ... Occasional remote work may be possible depending on assignment and business needs. Benefits of ...

Deloitte

Epic Denials Management Operator

Tulsa, OK · Remote

$16.50 - $22/hr

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

Deloitte

Epic Denials Management Coordinator

Tulsa, OK · Remote

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

Pipeline Conditioning

Field Engineer

Oklahoma City, OK · Remote

$106K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Field Engineer - Pipeline Conditioning Remote (US-based) | 60% Travel | $86,000-$126,000+ Total ... Perform gas sampling, data logging, and daily reporting. * Communicate directly with clients and ...

First American

TX Commercial Title Examiner (Remote)

Kansas, OK · On-site +1

$26.88 - $35.82/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Proficiency in Microsoft Office, Adobe Acrobat/Pro, internet, property data platforms andthe ... 82 Hourly, Remote This hiring range is a reasonable estimate of the base pay range for this ...

micro1 AI

Cheminformatics Specialist - Remote

Norman, OK · Remote

$80 - $110/hr

... discovery platforms. * Evaluate compound-target interactions, ADMET properties, and lead ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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Showing results 41-60

All JobsData Platform Engineer JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in Oklahoma

Remote Data Platform Engineer information

See Oklahoma salary details

$41.1K

$119.8K

$163.9K

How much do remote data platform engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data platform engineer in Oklahoma is $119,772.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

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

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

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

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

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

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

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

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

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

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

What cities in Oklahoma are hiring for Remote Data Platform Engineer jobs?

Cities in Oklahoma with the most Remote Data Platform Engineer job openings:

Remote Data Platform Engineer jobs near you
Infographic showing various Remote Data Platform Engineer job openings in Oklahoma as of July 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,772 per year, or $57.6 per hour.

Bioinformatics Software Engineer

micro1 AI

Edmond, OK • Remote

$80 - $110/hr

Part-time

Posted 17 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

Apply