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Data Engineer Jobs in Tulsa, OK (NOW HIRING)

Kanak Elite Services Inc

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

DATA ENGINEER LOCATION - TULSA OK (HYBRID ONSITE) DURATION : 6-MONTH CONTRACT WITH ADDITIONAL CANDIDATES WITH FIVE TRAN (ETL TOOL) OR AI. What You'll Be Doing: * Supporting and enhancing a primarily ...

Kanak Elite Services Inc

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Data Engineer Location : Tulsa, OK Onsite Duration : Long term contract What You'll Be Doing: * Supporting and enhancing a primarily on-prem SQL Server 2019 environment * Developing and maintaining ...

InTulsa Initiative LLC

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

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 ...

Tulsa Community Foundation

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

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 ...

Tulsa For You - Integrated Strategies

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

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 ...

Addison Group

Data Engineer II

Tulsa, OK · On-site

$120/hr

Data Engineer II/III Location: Tulsa, Oklahoma Salary: $120-135k Position is not eligible for sponsorship Benefits: Health insurance Disability insurance Life insurance Retirement plans (like a ...

Addison Group

Data Engineer II

Tulsa, OK · On-site

$120/hr

Data Engineer II/III Location: Tulsa, Oklahoma Salary: $120-135k Position is not eligible for sponsorship Benefits: Health insurance Disability insurance Life insurance Retirement plans (like a ...

Bespoke Labs

Data Engineer

Broken Arrow, OK · On-site

$97K - $116K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Tulsa, OK · On-site

$100K - $120K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Pwc

Data Engineer - Manager

Tulsa, OK

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Tulsa, OK

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$104K - $125K/yr

QuikTrip is a corporate office seeking a Data Engineer II responsible for programming, testing, implementing, supporting, and maintaining data pipelines and business intelligence models. The role ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will ...

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 development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will ...

QuikTrip

Data Engineer II

Tulsa, OK

$98K - $118K/yr

This position is responsible for programming, testing, implementing, supporting, and maintaining data pipelines, data stores (e.g., Data Warehouse, Mart, Hub, etc.), and business intelligence models.

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$98K - $118K/yr

This position is responsible for programming, testing, implementing, supporting, and maintaining data pipelines, data stores (e.g., Data Warehouse, Mart, Hub, etc.), and business intelligence models.

CCT

AWS Cloud Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Tulsa, OK

Data Engineer information

See Tulsa, OK salary details

$40.6K

$118.5K

$162.1K

How much do data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer in Tulsa, OK is $118,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $125,600.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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.

What are Data Engineers?

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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
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Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Tulsa, OK as of July 2026, with employment types broken down into 70% Full Time, 10% Temporary, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $118,479 per year, or $57 per hour.

Data Engineer

Kanak Elite Services Inc

Tulsa, OK • On-site

$104K - $125K/yr

Contractor

Posted 22 days ago

Job description

Hello There,

Wish you a Happy Thursday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

ROLE : DATA ENGINEER

LOCATION - TULSA OK (HYBRID ONSITE)

DURATION : 6-MONTH CONTRACT

WITH ADDITIONAL CANDIDATES WITH FIVE TRAN (ETL TOOL) OR AI.


What You’ll Be Doing:

  • Supporting and enhancing a primarily on-prem SQL Server 2019 environment
  • Developing and maintaining SSIS-based ETL pipelines, including metadata-driven and dynamic ETL processes
  • Working with a variety of data sources and file formats to support enterprise data needs
  • Collaborating with engineering and data teams using modern DevOps practices

What We’re Looking For (8+ years preferred):

  • Strong experience with SQL Server 2019 and advanced SQL development
  • Hands-on experience with SSIS
  • Experience using Azure DevOps and Git
  • Proficiency with Visual Studio and C# (reading, maintaining, and debugging code)
  • Experience ingesting data from multiple source types, including:
    • Fixed-width files
    • Sub-record type files
    • CSV files
    • Oracle databases
    • Kafka (preferred, not required)
  • Experience working in a Type 2 historical data environment, including change data capture (CDC)

Cloud Experience (HIGHLY Preferred):

  • Practical experience with AWS, such as S3, EC2, RDS, Redshift, or Glue
  • Experience integrating or supporting hybrid on-prem and AWS-based data solutions
  • Familiarity with cloud-based data pipeline and storage best practices.

Description of job duties:

They will be working on ETL Projects for the Enterprise Data Solutions team ingesting data from many different sources.  Developing with Advanced level SQL, SSIS, Visual Studio, GIT for the most part. 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+ years preferred in data centered development with primarily on-prem SQL Server in years of experience
  • Experience utilizing AI powered tools (e.g., Microsoft Copilot)
  • Azure DevOps / Git experience
  • SSIS
  • Advanced knowledge of SQL (the main platform is SQL Server 2019)
  • Visual Studio with C# experience  (maintain, read, and debug code)
  • Knowledge in metadata-driven dynamic ETL.
  • Experience with ingesting multiple types of data sources (Fixed width files, Sub-record type files,CSV type files, Oracle, Kafka)
  • 2+ years of hands-on experience in AWS data engineering, including data ingestion, transformation, and integration with Amazon S3 and related services; experience with Five Tran preferred but not required.