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Data Engineer Project Jobs in Oklahoma (NOW HIRING)

Data Engineer

Tulsa, OK · On-site

$104.60K - $125.60K/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

Tulsa, OK · On-site

$104.50K - $125.50K/yr

Job Summary : Koch Engineered Solutions is seeking a Data Engineer to join their Information ... project managers, analysts -- to understand their processes, validate business logic, and ensure ...

Data Engineer II

Tulsa, OK

$99.30K - $119.20K/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 ...

Data Engineer II

Tulsa, OK

$99.30K - $119.20K/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 ...

Data Engineer -Mauritius

Blair, OK

$101.80K - $122.30K/yr

The Data Engineer facilitates the flow of oftentimes massive quantities of raw files from various ... Mastery of office productivity tools such as Excel, Word, MS Project, Visio, and PowerPoint * Most ...

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 - Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

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 ...

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 ... Understand the broader objectives of your project or role and how your work fits into the overall ...

Senior Data Engineer

Edmond, OK · On-site

$95.80K - $130.10K/yr

Own Projects: Take responsibility for end-to-end delivery of data initiatives with minimal direction. * Grow Continuously: Stay current on data engineering, ML, and LLM-related tools, patterns, and ...

Senior Data Engineer

Edmond, OK · Remote

$95.80K - $130.10K/yr

Own Projects: Take responsibility for end-to-end delivery of data initiatives with minimal direction. * Grow Continuously: Stay current on data engineering, ML, and LLM-related tools, patterns, and ...

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 ...

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 · On-site

$98.30K - $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 · On-site

$98.30K - $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 ...

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Data Engineer Project information

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 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 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 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.

What are popular job titles related to Data Engineer Project jobs in Oklahoma? For Data Engineer Project jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Data Engineer Project jobs? Cities in Oklahoma with the most Data Engineer Project job openings:

Data Engineer

Kanak Elite Services Inc

Tulsa, OK • On-site

$104.60K - $125.60K/yr

Contractor

Posted 23 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.