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Remote Gcp Data Engineer Jobs in Oklahoma (NOW HIRING)

Everforth, Cybercoders

Senior Golang Engineer

Tulsa, OK · On-site +1

$140K - $200K/yr

We're building the first wealth tech data orchestration platform to streamline workflows, boost ... Remote work * Competitive salary and equity options * High quality benefits package, including 100 ...

New

Interstates

Productivity Engineer

Muskogee, OK · On-site +1

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 ...

Cloudbeds

$140K - $180K/yr

Collaborate with product, design, data, security, and engineering partners to turn ambiguous AI ... working with remote-first, globally distributed teams * Experience with API-driven design ...

Pipeline Conditioning

Field Engineer

Oklahoma City, OK · Remote

$106K - $126K/yr

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 ...

CSAA

Regulatory Reporting Analyst- Remote

Kansas, OK · Remote

Job Title Regulatory Reporting Analyst- Remote Requisition Number R7892 Regulatory Reporting ... Programming & Regulatory Reporting * Extract, prepare, and validate data required to support ...

Zones LLC.

SAP Integration Engineer

Tulsa, OK · Remote

$90 - $120/wk

... Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more ... Term: 6-month Contract to hire Location: 100% remote with lite travel into Tulsa, OK Pay: $90-$120 ...

IMMY

Clinical Affairs Associate

Norman, OK · Remote

... remote) to check protocol compliance, informed consent documentation, and data quality. Perform ... Working knowledge of Good Clinical Practice (GCP) and post-market surveillance/quality requirements ...

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Remote Gcp Data Engineer information

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

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

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

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

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

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

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

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

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

Remote Gcp Data Engineer jobs near you
Infographic showing various Remote Gcp Data Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Oklahoma City, OK • Remote

$90 - $120/hr

Part-time

Posted 22 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply