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Sr Data Engineer Jobs in Oklahoma (NOW HIRING)

Addison Group

Sr. Data Engineer

Oklahoma City, OK · On-site

$50 - $70/hr

Senior Data Engineer Location: Oklahoma City, OK Pay: $50 - $70 / Hour Work Schedule: Hybrid - 4 days onsite and 1 day remote initially Benefits: This position is eligible for medical, dental, vision ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data. This role is critical in ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data. This role is critical in ...

mytfcuhr

Data Engineer I,II,III, SR

Oklahoma City, OK

$106K - $133K/yr

Azure Data Engineer Associate or Fabric Analytics Engineer Associate are preferred for Data Engineer III and Senior Data Engineer. Keys to success: In order to be successful as a Data Engineer you ...

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 ...

OakTree Staffing

Be Seen First

Senior Data Engineer

Oklahoma City, OK · On-site

$98K - $133K/yr

Senior Data Engineer Location: Oklahoma City, Ok Description: Responsible for developing and enabling the strategic use of data assets throughout the organization. Reviews, analyzes, forecasts, and ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

The Senior Data Engineer is responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data, collaborating across technical teams to deliver ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

The Senior Data Engineer is responsible for shaping, implementing, and maintaining data pipelines and systems that ensure quality and reliable data, collaborating across technical teams to support ...

Pwc

Data Engineer - Senior Manager

Oklahoma City, OK

$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 Engineer - Senior Associate

Oklahoma City, OK · On-site

$77K - $202K/yr

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

Pwc

Data 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 Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

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

OG&E

Data Engineer Senior

Oklahoma City, OK · On-site

$98K - $133K/yr

Data Engineer Senior * Job Code: 130059 * Job Grade: 58 JOB SUMMARY Responsible for developing and enabling the strategic use of data assets throughout the organization. Reviews, analyzes, forecasts ...

OG&E

Data Engineer Senior

Oklahoma City, OK · On-site

$98K - $133K/yr

Data Engineer Senior * Job Code: 130059 * Job Grade: 58 JOB SUMMARY Responsible for developing and enabling the strategic use of data assets throughout the organization. Reviews, analyzes, forecasts ...

OG&E

Data Engineer Senior

Oklahoma City, OK · On-site

$98K - $133K/yr

Data Engineer Senior * Job Code: 130059 * Job Grade: 58 JOB SUMMARY Responsible for developing and enabling the strategic use of data assets throughout the organization. Reviews, analyzes, forecasts ...

The University of Oklahoma

Senior Data Analyst

Tulsa, OK · On-site

$78K - $99K/yr

Senior Data Analyst Job no: 493306 Work type: Professional Location: Tulsa Categories: Technology ... Will function as lead developer for a Care Management application platform currently utilized by a ...

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All JobsSr Data Engineer JobsSr Data Engineer Jobs in Oklahoma

Sr Data Engineer information

See Oklahoma salary details

$74.8K

$116.6K

$161.6K

How much do sr data engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for sr data engineer in Oklahoma is $116,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $133,000.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

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

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Oklahoma?

For Sr Data Engineer jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer jobs in Oklahoma look for?

The top searched job categories for Sr Data Engineer jobs in Oklahoma are:

What cities in Oklahoma are hiring for Sr Data Engineer jobs?

Cities in Oklahoma with the most Sr Data Engineer job openings:

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $116,643 per year, or $56.1 per hour.

Sr. Data Engineer

Addison Group

Oklahoma City, OK • On-site

$50 - $70/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 10 days ago

Job description

Job Title: Senior Data Engineer
Location: Oklahoma City, OK
Pay: $50 - $70 / Hour
Work Schedule: Hybrid - 4 days onsite and 1 day remote initially
Benefits: This position is eligible for medical, dental, vision, and 401(k).
About The Company:
A well-established organization in the energy and utilities industry is seeking a Senior Data Engineer to join its analytics team. This is an opportunity to work on meaningful, high-impact data initiatives that influence operational performance, reliability, risk management, and business decision-making.
Job Description:
The Senior Data Engineer will design, develop, and support data solutions that transform complex operational information into reliable, actionable insights. This individual will work across data engineering, business intelligence, statistical analysis, and emerging AI technologies.
A key focus of the role will be analyzing data related to reliability and vegetation management programs, evaluating the impact of operational changes, and developing analytics that help stakeholders understand performance, risk, customer impact, and opportunities for improvement.
The ideal candidate is an experienced data professional who can work independently, solve complex problems, and translate ambiguous business questions into practical technical solutions.
Key Responsibilities:
  • Build and maintain scalable data pipelines, analytical datasets, and reporting solutions.
  • Write and optimize SQL queries while investigating data quality and transformation issues.
  • Develop Power BI dashboards, reports, semantic models, and other business intelligence solutions.
  • Work with data from multiple enterprise systems and sources to create comprehensive analytical views.
  • Perform statistical analysis to measure operational performance and determine the effectiveness of business initiatives.
  • Analyze reliability, outage, asset, vegetation, customer, and operational data to identify trends and potential risks.
  • Develop meaningful performance indicators and analytical models that supplement traditional reliability measurements.
  • Create dashboards, scorecards, rankings, and visualizations that help business leaders prioritize actions.
  • Validate data, reconcile discrepancies between systems, and document assumptions and business logic.
  • Translate business needs into repeatable data models, analytical processes, and user-friendly solutions.
  • Support production data environments through troubleshooting, quality checks, version control, and ongoing improvements.
  • Collaborate with technical teams and business stakeholders to gather requirements and deliver effective solutions.
  • Leverage AI-assisted development and emerging technologies to improve data engineering and analytical capabilities.

Qualifications:
  • Senior-level experience in data engineering, data analytics, business intelligence, or a related field.
  • Strong SQL development and data troubleshooting experience.
  • Experience with ETL/ELT processes and data pipeline development.
  • Experience with Power BI and/or Microsoft Fabric.
  • Knowledge of data modeling and modern enterprise data environments.
  • Ability to use AI tools or prompting techniques to assist with programming and data-related tasks.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Ability to independently research, investigate, and resolve complex data challenges.
  • Excellent communication skills with both technical and non-technical audiences.
  • Strong attention to detail and commitment to data accuracy.
  • Self-motivated with the ability to work effectively with limited supervision.

Preferred Qualifications:
  • Experience with Minitab Statistical Software or a similar statistical analysis platform.
  • Experience with Snowflake and enterprise data warehousing.
  • Experience with Microsoft Fabric, Lakehouse environments, or cloud-based data solutions.
  • Experience working with SAP or other large enterprise systems.
  • Experience with GIS or geospatial data.
  • Utility, energy, infrastructure, engineering, or other asset-intensive industry experience.
  • Knowledge of electric reliability concepts and operational performance metrics.
  • Experience developing predictive, leading, or customer-focused reliability indicators.
  • Familiarity with AI platforms, machine learning, predictive analytics, or intelligent automation.

Additional Details:
  • This position is structured as contract-to-hire, with the potential for permanent employment based on business needs and performance.
  • The initial schedule is expected to be 4 days onsite and 1 day remote. Additional remote flexibility may become available after approximately six months but is not guaranteed.
  • The anticipated start date is October 2026, with potential flexibility for an earlier start.
  • The interview process includes two interviews and a practical data exercise.
  • Candidates should be prepared to demonstrate their technical, analytical, and problem-solving abilities.
  • This is a senior-level position, and the selected candidate is expected to be productive with minimal training.

Perks:
  • Work on high-impact data initiatives with measurable business and operational outcomes.
  • Opportunity to work across data engineering, analytics, statistics, and emerging AI technologies.
  • Exposure to modern data platforms and enterprise analytics environments.
  • Potential pathway from contract to permanent employment.
  • Hybrid work flexibility.
  • Opportunity to directly influence reliability, operational performance, and strategic decision-making.

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
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