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Senior Data Center 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

$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 ...

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 ...

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 ...

mytfcuhr

Data Engineer I,II,III, SR

Oklahoma City, OK · On-site

$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 ...

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 ensure quality and reliable data, collaborating across technical teams to support ...

Gimlet Labs

Data Center Technician

Oklahoma City, OK · On-site

About the role Gimlet Labs is seeking Data Center Technicians to support daily data center ... You will work closely with Site Managers, Deployment Leads, Network Deployment Engineers, Logistics ...

Google

Data Center Technician

Stillwater, OK · On-site

... Engineer, Help Desk Technician, etc.). * Experience working within a data center or network ... operation center environment. * Ability to collaborate and partner with teams to overcome ...

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 JobsData Center Engineer JobsSenior Data Center Engineer JobsSenior Data Center Engineer Jobs in Oklahoma

Senior Data Center Engineer information

See Oklahoma salary details

$74.8K

$116.6K

$161.6K

How much do senior data center engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for senior data center 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 does a senior data center engineer do?

A Senior Data Center Engineer is responsible for designing, implementing, and maintaining the critical infrastructure that supports a data center, including servers, networking equipment, power, and cooling systems. They oversee the performance, security, and reliability of data center operations, often managing large-scale hardware deployments and troubleshooting complex technical issues. Additionally, they may lead teams, develop best practices, and ensure compliance with industry standards to optimize data center efficiency and uptime.

What are some common challenges faced by senior data center engineers, and how can they be addressed?

Senior Data Center Engineers often encounter challenges such as maintaining high system uptime, managing rapid technology changes, and ensuring robust security protocols. Addressing these involves proactive monitoring, regular system updates, and collaborating closely with IT security teams to implement best practices. Additionally, effective communication with project managers and other engineers is key to quickly resolving issues and supporting business continuity. Continuous learning and adaptability are essential for staying ahead of emerging technologies and evolving data center standards.

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

To thrive as a Senior Data Center Engineer, you need deep expertise in networking, server hardware, data center infrastructure, and typically a bachelor's degree in IT or a related field. Familiarity with virtualization platforms (like VMware), data center management tools, and certifications such as Cisco CCNP or CompTIA Server+ are commonly required. Strong problem-solving, project management, and communication skills help you excel in managing complex environments and collaborating with cross-functional teams. These skills and qualifications are crucial for ensuring high availability, efficiency, and reliability in mission-critical data center operations.

What is the difference between Senior Data Center Engineer vs Data Center Technician?

AspectSenior Data Center EngineerData Center Technician
CertificationsCCNA, CCNP, Data Center certificationsCompTIA A+, Data Center certifications
Work EnvironmentDesign, planning, troubleshooting complex systemsHardware installation, maintenance, basic troubleshooting
ResponsibilitiesSystem architecture, network design, performance optimizationEquipment setup, cable management, routine repairs

The Senior Data Center Engineer typically handles advanced design, planning, and troubleshooting of data center infrastructure, requiring higher certifications and experience. In contrast, Data Center Technicians focus on hardware installation and maintenance tasks. While both roles work within data centers and may share certifications, the engineer's role is more strategic and technical, whereas technicians perform operational support.

What cities in Oklahoma are hiring for Senior Data Center Engineer jobs?

Cities in Oklahoma with the most Senior Data Center Engineer job openings:

Senior Data Center Engineer jobs near you
Infographic showing various Senior Data Center Engineer job openings in Oklahoma 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 $116,643 per year, or $56.1 per hour.

Sr. Data Engineer

Oklahoma City, OK • On-site

Addison Group
See more jobs at Addison Groupexternal

$50 - $70/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 8 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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