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Data Engineer Project Jobs in Sapulpa, OK (NOW HIRING)

Data Engineer

Tulsa, OK ยท On-site

$104K - $125K/yr

ROLE : DATA ENGINEER LOCATION - TULSA OK (HYBRID ONSITE) DURATION : 6-MONTH CONTRACT WITH ... They will be working on ETL Projects for the Enterprise Data Solutions team ingesting data from ...

Data Engineer II

Tulsa, OK ยท On-site

$120/hr

Data Engineer II/III Location: Tulsa, Oklahoma Salary: $120-135k Position is not eligible for ... Provide timely updates regarding project status, risks, and deliverables. * Prepare clear and ...

Data Engineer II

Tulsa, OK ยท On-site

$120/hr

Data Engineer II/III Location: Tulsa, Oklahoma Salary: $120-135k Position is not eligible for ... Provide timely updates regarding project status, risks, and deliverables. * Prepare clear and ...

Data Engineer II

Tulsa, OK ยท On-site

$99K - $119K/yr

Experience creating build and release pipelines for data projects using Azure DevOps, including SQL deployments, SSIS packages, and SSAS models. * Familiarity with data profiling, data governance ...

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer II

Tulsa, OK ยท On-site

$104K - $125K/yr

... project team, and/or key customers and supervisor regarding specific assignments and overall ... programming data solutions. โ€ข Familiar with all aspects of systems analysis, design, and ...

Data Engineer - Senior Associate

Tulsa, OK ยท On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Understand the broader objectives of your project or role and how your work fits into the overall ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Take ownership of projects, ensuring their successful planning, budgeting, execution, and ...

Data Engineer II

Tulsa, OK

$98K - $118K/yr

... programming, testing, implementing, supporting, and maintaining data pipelines, data stores (e.g ... Accurately record project and trouble call work assignment updates within timeframes determined by ...

Data Engineer II

Tulsa, OK ยท On-site

$98K - $118K/yr

... programming, testing, implementing, supporting, and maintaining data pipelines, data stores (e.g ... Accurately record project and trouble call work assignment updates within timeframes determined by ...

AWS Cloud Data Engineer

Tulsa, OK ยท On-site

$120 - $160/hr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data ... Ability and willingness to work on multiple assignments/projects in a fast-paced environment and ...

New

AWS Cloud Data Engineer

Tulsa, OK ยท On-site +1

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data ... Ability and willingness to work on multiple assignments/projects in a fast-paced environment and ...

AWS Cloud Data Engineer

Tulsa, OK ยท On-site

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data ... Ability and willingness to work on multiple assignments/projects in a fast-paced environment and ...

Take ownership of projects, ensuring their successful planning, budgeting, execution, and ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

Take ownership of projects, ensuring their successful planning, budgeting, execution, and ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

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Showing results 1-20

Data Engineer Project information

See Sapulpa, OK salary details

$37.5K

$134.7K

$198.7K

How much do data engineer project jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer project in Sapulpa, OK is $134,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $138,700.00 per year, depending on experience, location, and employer.

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

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 strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

Data Engineer

Kanak Elite Services Inc

Tulsa, OK โ€ข On-site

$104K - $125K/yr

Contractor

Re-posted 17 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.