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Data Engineer Data Analyst Jobs in Oklahoma (NOW HIRING)

Tulsa Community Foundation

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

The team's work spans Data & Systems, CRM Platform Solutions, and Analytics-building the data ... This role requires strong hands-on experience in Python-based data engineering, cloud data ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$104K - $125K/yr

... data analysis to determine if data is suitable for needs. • Development of automated data ... developers to improve development skills and system knowledge. • Actively utilize training ...

InTulsa Initiative LLC

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

The team's work spans Data & Systems, CRM Platform Solutions, and Analytics-building the data ... This role requires strong hands-on experience in Python-based data engineering, cloud data ...

Kanak Elite Services Inc

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Proficiency in leveraging AI enabled tools, such as Microsoft Copilot, to improve productivity and analysis. A plus will be experience in AWS related to data engineering. Experience required: * 8+ ...

Life.Church

Data Engineer

Edmond, OK

$103K - $124K/yr

The Data Engineer will be responsible for driving data awareness and providing the analytics teams with actionable data. This role will utilize systems-thinking, will require broad technical ...

Life.Church

Data Engineer

Edmond, OK · On-site

$103K - $124K/yr

The Data Engineer will be responsible for driving data awareness and providing the analytics teams with actionable data. This role will utilize systems-thinking, will require broad technical ...

The Intersect Group

Data Engineer II

Tulsa, OK · On-site

$99K - $119K/yr

Data Engineer Company Overview Our client is a respected leader in the retail and consumer services ... Analyze and profile data from diverse sources to determine integration requirements and data ...

Hangar Worldwide

Data Engineer -Mauritius

Blair, OK · On-site

$101K - $122K/yr

The Data Engineer facilitates the flow of oftentimes massive quantities of raw files from various ... Analyze documentation and propose data extraction solutions * Write code that uses APIs to download ...

Pwc

Data Engineer - Manager

Oklahoma City, OK · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is instrumented, collected, and usable. * Enable ML & LLM Use Cases: Prepare and curate datasets suitable ...

Life.Church

Senior Data Engineer

Edmond, OK · Remote

$95K - $130K/yr

Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is instrumented, collected, and usable. * Enable ML & LLM Use Cases: Prepare and curate datasets suitable ...

Pwc

Data Engineer - Manager

Tulsa, OK

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

MidFirst Bank

Applied Data Engineer

Oklahoma City, OK · On-site

$93K - $112K/yr

Create custom data extracts and support downstream modeling, analytics, and reporting use cases ... Bachelor's degree in computer science, engineering, information systems, or a related field, or ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Oklahoma

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Oklahoma? For Data Engineer Data Analyst jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Oklahoma look for? The top searched job categories for Data Engineer Data Analyst jobs in Oklahoma are:
What cities in Oklahoma are hiring for Data Engineer Data Analyst jobs? Cities in Oklahoma with the most Data Engineer Data Analyst job openings:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Oklahoma as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 76% In-person, 9% Hybrid, and 15% Remote job distribution.

Data Engineer

Tulsa Community Foundation

Tulsa, OK • On-site

$104K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

ABOUT THE ORGANIZATION
Tulsa For You and Me is a portfolio of talent and economic development programs working to strengthen Tulsa's long-term economic vitality, expand access to opportunity, and build a more vibrant and inclusive city. Operated under the stewardship of the George Kaiser Family Foundation® (GKFF®), affiliated programs include nationally recognized organizations such as Tulsa Remote, LLC, Tulsa Innovation Labs, LLC, Build In Tulsa, LLC, Experience Tulsa, Atlas School, LLC, Campus Tulsa program, Tulsa Service Year program, and others.
Integrated Strategies is Tulsa For You's centralized data, systems, and analytics team, helping programs operate more effectively, make better decisions, and scale with stronger internal infrastructure. The team's work spans Data & Systems, CRM Platform Solutions, and Analytics-building the data environments, technical solutions, and analytical insight needed to support cross-program execution.
ABOUT THE ROLE
In this position, you will serve as a key technical contributor within Tulsa For You's Data & Systems environment, helping build and maintain the backend infrastructure that powers reporting, analytics, cross-system integrations, and reliable organizational data operations.
This role requires strong hands-on experience in Python-based data engineering, cloud data environments, relational databases, and backend systems integration. You will support the full lifecycle of organizational data movement-from ingestion and transformation through warehouse optimization, monitoring, troubleshooting, and long-term systems improvement-ensuring analysts and program teams have reliable, well-structured, and trustworthy data to support decision-making.
Success in this role requires high initiative, strong resourcefulness, and comfort operating in an environment where not every solution is predefined. The ideal candidate is someone who enjoys digging into unfamiliar technical problems, researching viable paths forward, and collaborating with others to build practical solutions in a dynamic setting.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
Data Engineering & Systems Management
  • Build, maintain, and continuously improve scalable data pipelines, integrations, and warehouse workloads that support reliable and efficient data operations across the organization.
  • Design and implement backend integrations for new and existing data sources-including APIs, databases, file-based feeds, cloud platforms, and third-party systems-to ensure accurate and dependable data movement.
  • Develop, test, deploy, and support reusable data workflows, transformation jobs, warehouse objects, scripts, and related engineering components.
  • Monitor pipeline, integration, and warehouse performance; proactively troubleshoot failures, optimize system reliability, and resolve data processing issues.
  • Establish and maintain logging, alerting, automated monitoring, and data quality controls that strengthen visibility, issue detection, and long-term operational stability.
  • Support secure data handling, system access controls, and governance practices to ensure organizational data is managed responsibly and in accordance with internal standards.

Systems Improvement & Technical Collaboration
  • Strengthen backend data architecture, engineering standards, and technical workflows to improve maintainability, scalability, and delivery speed.
  • Evaluate and apply modern tools, technologies, and engineering practices that improve the resilience and effectiveness of the overall data environment.
  • Create and maintain technical documentation across pipelines, integrations, warehouse models, and backend workflows to support team continuity and long-term sustainability.
  • Partner closely with analysts, technical teammates, vendors, and internal stakeholders to ensure backend data systems reliably support reporting, analytics, and operational decision-making.
  • Other duties as assigned.

Requirements
Education & Experience:
  • 4+ years of professional experience in data engineering, cloud data infrastructure, backend integrations, or related technical roles supporting enterprise data environments.
  • 3+ years of hands-on experience developing and maintaining production-grade data pipelines, transformations, and backend workflows using Python.
  • Demonstrated experience building or supporting API-based integrations and automated cloud data workflows across multiple systems.
  • Experience working within version-controlled development environments and applying collaborative software engineering practices.

Skills & Abilities:
  • Strong capability designing and building reliable, scalable data pipelines and backend data workflows in cloud-based environments.
  • Strong command of SQL, relational databases, and data modeling concepts, with the ability to structure and optimize data for downstream use.
  • Proven ability to integrate and manage data across multiple systems, including APIs, databases, cloud services, and third-party platforms.
  • Strong understanding of modern software engineering and deployment practices, including version control, testing, code review, and release workflows.
  • Strong working knowledge of cloud environments and the core services that support data systems, including storage, compute, orchestration, monitoring, and security.
  • Strong troubleshooting and problem-solving ability, with a focus on diagnosing failures, improving system reliability, and maintaining data integrity.
  • Ability to operate effectively in evolving technical environments, bringing structure, sound judgment, and continuous improvement to systems and processes.
  • Ability to work independently and collaboratively with technical teammates, vendors, analysts, and internal stakeholders.
  • Strong written and verbal communication skills, including the ability to document systems clearly and explain technical concepts to technical and non-technical audiences.

Preferred Qualifications:
  • Experience designing and supporting cloud-based data solutions within GCP and Azure strongly preferred
  • Exposure to Infrastructure as Code (IaC), deployment automation, or related practices used to manage cloud-based technical environments..
  • Experience working in Agile, sprint-based technical environments and using workflow management tools such as Jira and/or JSM.

Physical Requirements:
  • Position requires prolonged periods of sitting and working at a computer, including regular use of a keyboard and other standard office equipment.
  • Position requires the ability to read, analyze, and visually review technical information and digital systems for extended periods of time.
  • Position requires limited travel, predominantly for professional development and relevant organizational needs.

Hours & Location:
  • You must live in or be able to relocate to Tulsa, OK or the surrounding area.
  • This is a hybrid position within an in-office leaning, highly collaborative work environment. Team members are generally expected to work onsite a minimum of three days per week, with additional hybrid flexibility available based on business needs, work demands, and supervisor approval.
  • This is a full-time position with an expectation of working 40 hours per week.
  • The typical hours of operation are Monday through Friday, 8:00 a.m. to 5:00 p.m. with flexibility required for various events, meetings, and relevant business needs.

Benefits:
As part of our overall compensation package, we offer work/life flexibility, comprehensive health benefits, paid time off, and generous retirement contributions designed to support you and your family.
  • 100% employer paid medical, dental, and long-term disability for full-time employees only. Option to add vision and dependents.
  • 401(k) employee and employer contributions.
  • Paid time off to support you while you are out of the office.
  • Paid holidays so our employees can spend time with those they care about.
  • Employer-paid AD&D life insurance, with employee option to add supplemental life insurance.

Apply