ZipRecruiter

Log In

1

Data Engineer Jobs in Tulsa, OK (NOW HIRING)

Pwc

Data Strategy-Manager

Tulsa, OK

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Pwc

Data Governance- Manager

Tulsa, OK · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Pwc

GenAI Python Systems Engineer -Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

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

Pwc

Data Strategy & Governance -Director

Tulsa, OK · On-site

$155K - $410K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

New

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$140 - $180/hr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

EmergencyMD

Data Platform Lead

Tulsa, OK · On-site

$90 - $120/hr

Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product Development ... This role develops data pipelines, creates reliable data models, and delivers analytics-ready ...

MIRATECH Corporation

Data Platform Lead

Tulsa, OK · On-site

$100K - $120K/yr

Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product Development ... This role develops data pipelines, creates reliable data models, and delivers analytics-ready ...

MIRATECH Corporation

Data Platform Lead

Tulsa, OK

$100K - $120K/yr

Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product Development ... This role develops data pipelines, creates reliable data models, and delivers analytics-ready ...

Pwc

AI Engineer

Tulsa, OK · On-site

$50K - $112K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

ONEOK, Inc

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

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 ...

MIRATECH Corporation

Data Platform Lead

Tulsa, OK · On-site

Software Development, Enterprise Platforms, Engineering, Sales, IT, Operations, Product ... This role develops data pipelines, creates reliable data models, and delivers analytics-ready ...

previous pagenext page

Showing results 21-40

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

What are the most commonly searched types of Data Engineer jobs in Tulsa, OK?

The most popular types of Data Engineer jobs in Tulsa, OK are:

What are popular job titles related to Data Engineer jobs in Tulsa, OK?

For Data Engineer jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Tulsa, OK look for?

The top searched job categories for Data Engineer jobs in Tulsa, OK are:

What cities near Tulsa, OK are hiring for Data Engineer jobs?

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.

Information Technology - Data Engineer 130-2049

CommunityCare

Tulsa, OK • On-site

$104K - $125K/yr

Temporary

Posted 17 days ago

Job description

JOB SUMMARY:
The Data Engineer will be responsible for expanding, optimizing and monitoring our data and data pipeline architecture, as well as optimizing data flow and collection across organizational teams. The Data Engineer will support our software engineers, database architects and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
KEY RESPONSIBILITIES:
  • Create and maintain optimal data pipeline architecture to support our next generation of products and data initiatives.
  • Integrate large, complex data sets that meet functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into member growth, operational efficiency and other key business performance metrics.
  • Performs other job-related duties as required.

QUALIFICATIONS:
  • Proficiency in data transformation, data structures, metadata management, and workload management.
  • Experience in the development of SSIS, ETL and other standardized data management tools.
  • Experience with SQL, Oracle, and Azure cloud services.
  • Strong project management and organizational skills.
  • Ability to work independently, handle multiple tasks and projects simultaneously.
  • Willingness to work in a high-tech, continually evolving, innovative environment.
  • Successful completion of Health Care Sanctions background check.

EDUCATION/EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
  • Project management skills 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

Apply