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Data Engineer Jobs in Tulsa, OK (NOW HIRING)

BOK Financial

Enterprise Data Steward II

Tulsa, OK

You will recommend enterprise-level data quality measures and requirements, monitor data quality trends, define SLAs, and work with data engineers and data producers to resolve and prevent data ...

New

BOK Financial

Enterprise Data Steward II

Tulsa, OK · On-site

You will recommend enterprise-level data quality measures and requirements, monitor data quality trends, define SLAs, and work with data engineers and data producers to resolve and prevent data ...

New

Olsson

Lead Mechanical Engineer - Data Center

Tulsa, OK

$100K - $121K/yr

Licensed Professional Engineer (PE) * Data Center experience (preferred) * Central utility or large-scale infrastructure experience (preferred) * Revit experience (preferred) * Strong track record of ...

GDH

IT Developer

Tulsa, OK · On-site

$70 - $75/hr

The role involves developing and maintaining data ingestion processes from diverse sources ... Utilize advanced SQL, GIT, and Azure DevOps for version control and deployment workflows.

Oneok, Inc.

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site

JOB SUMMARY This Engineer II role is responsible for ensuring accuracy, analyzing and managing In-Line Inspection data for the Natural Gas Liquids, Natural Gas Pipeline, and Natural Gas Gathering ...

ONEOK, Inc

AI Engineer III

Tulsa, OK

JOB SUMMARY Job Profile Summary The ONEOK Data Science team creates intelligent cloud-native ... Strong Python engineering skills, with familiarity in at least one of: optimization, forecasting ...

New

Olsson

Mechanical Piping Engineer - Data Center

Tulsa, OK · On-site

$95K - $130K/yr

Join Olsson's Data Center Design team as a Mechanical Piping Engineer, where you'll provide support on complex, mission-critical projects, including hyperscale data centers and secure facilities.

New

Stem Xpert

Data Architect

Tulsa, OK · On-site

$58.25 - $75/hr

The company is primarily focused on information technology, engineering, healthcare, financial ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

CleanHarbors

Sales Engineer, Data Centers

Tulsa, OK · On-site

HPC-Industrial, powered by Clean Harbors, is looking for a Data Center Sales Engineer to join their safety conscious team! The Sales Engineer has direct responsibility for profitable revenue growth ...

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All JobsData Engineer JobsData Engineer Jobs in Tulsa, OK

Data Engineer information

See Tulsa, OK salary details

$39.7K

$115.8K

$158.5K

How much do data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer in Tulsa, OK is $115,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,200.00 and $122,800.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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Cities near Tulsa, OK with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Tulsa, OK 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, with an average salary of $115,824 per year, or $55.7 per hour.

Business Intelligence - Director Enterprise Data & Analytics

CommunityCare

Tulsa, OK • On-site

Full-time

Re-posted 12 days ago

Job description

JOB SUMMARY:
The Director Enterprise Data & Analytics is responsible for leading the organization's data strategy, analytics, reporting, governance, and data engineering functions. This role partners across executive, technical, financial, clinical, and operational teams to deliver trusted data, scalable analytics, reporting modernization, and AI-enabled decision-making support that advances operational excellence, regulatory confidence, and long-term business success.
KEY RESPONSIBILITIES:
  • Oversee enterprise analytics, business intelligence, corporate reporting, data governance, data quality, and data engineering.
  • Oversee modern data platforms, enterprise data architecture, self-service analytics, predictive analytics, automation, and AI readiness.
  • Develop, execute, and maintain the Enterprise Data & Analytics strategy by establishing policies, standards, and best practices for analytics, reporting, governance, and data engineering while advancing data-driven decision-making and evaluating emerging technologies.
  • Lead, develop, and mentor managers and technical professionals while fostering a culture of innovation, accountability, collaboration, customer service, and continuous learning.
  • Serve as the primary business partner to executive leadership on enterprise data and business intelligence initiatives, while advancing innovation, automation, advanced analytics, and AI-enabled decision support.
  • Collaborate across Finance, IT, Clinical Operations, Medical Management, Network Management, Compliance, and other business areas to align enterprise analytics priorities.
  • Provide strategic leadership for modernization initiatives involving cloud technologies, enterprise reporting, data architecture, and analytics; partner with IT to ensure enterprise systems support scalable reporting and analytics.
  • Manage departmental budgets, establish performance metrics, prioritize resources, and ensure successful execution of strategic initiatives.
  • Partner with data governance, compliance, and security teams to ensure reporting solutions meet HIPAA, CMS, and state regulatory requirements.
  • Perform other related job duties as required or assigned.

QUALIFICATIONS:
  • Ability to translate complex healthcare data into clear, meaningful insights for non-technical audiences.
  • Ability to deliver trusted, timely, and actionable information.
  • Proven success in the execution of enterprise data modernization initiatives.
  • Ability to improve reporting consistency, data quality, and stakeholder confidence.
  • Proven success in increasing adoption of self-service analytics and modern business intelligence.
  • Ability to develop a high-performing Enterprise Data & Analytics organization.
  • Successful completion of Health Care Sanctions background check.

EDUCATION/EXPERIENCE:
  • Bachelor's degree in Information Systems, Computer Science, Business Analytics, Data Science, Healthcare Administration, Finance, Statistics, Applied Mathematics, or related field required; Master's degree preferred.
  • Seven years of progressive experience in enterprise analytics, business intelligence, data engineering, healthcare analytics, or related disciplines.
  • Three years of leadership experience managing analytical, reporting, engineering, or business intelligence teams.
  • Extensive hands-on experience with Power BI, including data modeling, DAX, security, and enterprise deployments.
  • Strong understanding of healthcare data domains (claims, eligibility, providers, quality, finance, utilization).
  • Demonstrated experience leading enterprise technology initiatives, organizational strategy, and cross-functional teams.
  • Advance enterprise data maturity and governance.
  • Three years of managed healthcare experience preferred.
  • Prior Executive and Board reporting experience preferred.
  • Prior enterprise data modernization and governance experience preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin

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