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Part Time Data Engineering Jobs in Oklahoma (NOW HIRING)

MCR Hotels

Engineer (Part-Time)

Tulsa, OK · On-site

$15 - $17/hr

Engineer, Role Specific Duties and Expectations Other Duties and Expectations * Repair Requests ... Respond to emergency situations using information contained in Material Safety Data sheets. * Full ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Oklahoma

Part Time Data Engineering information

What are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Oklahoma? The most popular types of Data Engineering jobs in Oklahoma are:
Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Oklahoma as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data/Cloud Architect II - Part-Time / On-call

Data/Cloud Architect II - Part-Time / On-call

ASRC Federal Holding

Norman, OK • On-site

$57.25 - $73/hr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

ASRC Federal rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

199th of 368 rated engineering

Job description

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
ASRC Federal Advanced Research, LLC (AFAR) is seeking a Data/Cloud Architect II to support a potential contract with the National Oceanic and Atmospheric Administration (NOAA), National Weather Service (NWS) in Norman, Oklahoma.
The NWS operates a complex, interconnected enterprise of systems responsible for the collection, processing, and dissemination of weather data and forecast products. These systems range from field-deployed observation infrastructure (e.g., ASOS, radar networks, data buoys) to mission-critical processing platforms (e.g., AWIPS, MRMS) and enterprise-level data architectures. To meet evolving mission needs, enhance resilience, and leverage modern technology, the NWS requires expert, on-demand support to execute a multi-year strategy focused on cloud adoption, modernization of legacy systems, and seamless integration of new capabilities and research partner data streams.
The NWS, in partnership with other agencies, is executing the Radar Next Program to modernize the nation's weather radar infrastructure. This program involves replacing the aging Next Generation Weather Radar (NEXRAD) Weather Surveillance Radar 1988 Doppler (WSR-88D) system with a next-generation network featuring enhanced capabilities, and improved coverage and performance. Given the criticality of uninterrupted radar coverage for public safety, the transition must be seamless.
AFAR's potential partnership with NWS will provide specialized technical and engineering support to the NWS Radar Next Program Office across several key areas to ensure the successful definition, design, development, and deployment of the modernized radar system and its associated data processing and distribution infrastructure.
Work location: Onsite - Norman, OK (will consider remote)
Work type: Part-time, On-call (hours will vary)
Background: Government issued background investigation
Responsibilities:
  • Designs, deploys, and optimizes cloud-based data solutions.
  • Architects migration strategies for on premises to cloud (AWS, Azure, GCP).
  • Evaluates cloud-native services for storage, processing, and analytics.
  • Optimizes for performance, scalability, cost, and federal compliance (FedRAMP, FISMA).

Education/Experience:
  • Minimum of 5+ years of relevant work experience.
  • Bachelors in CS, Cloud Computing, IT, Meteorology, Atmospheric Science, or related, or equivalent.
  • Must be a US Citizen to meet contract requirements.
  • Must successfully complete a government issued background investigation.

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
EEO Statement
ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

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