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Data Jobs in Edmond, OK (NOW HIRING)

Data Architect

Oklahoma City, OK ยท On-site

$52.25 - $67.25/hr

The Data Architect defines and evolves platform capabilities that support analytics, data engineering, machine learning operations (MLOps), and emerging AI-driven use cases, ensuring solutions are ...

Data Architect

Oklahoma City, OK ยท On-site

$52.25 - $67.25/hr

The Data Architect defines and evolves platform capabilities that support analytics, data engineering, machine learning operations (MLOps), and emerging AI-driven use cases, ensuring solutions are ...

DATA ANALYST POSITION SUMMARY THIS POSITION IS IN STATE, IN OKLAHOMA CITY. IT IS NOT A REMOTE POSITION. Primary responsibility for hands-on analytic reporting, data infrastructure support, and ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Canoo Data Platform - Data Engineer

Oklahoma City, OK ยท On-site

$98K - $118K/yr

Job Title Canoo Data Platform - Data Engineer About Canoo Canoo's mission is to bring EVs to Everyone and build a world-class team to deploy this sustainable mobility revolution. We have developed ...

Data Engineer

Oklahoma City, OK

$106K - $127K/yr

JOB OVERVIEW The mission of the Data Analytics Engineer at Warwick Energy is to bridge the gap between data engineering and business intelligence (BI) teams seamlessly. In this role, you will convert ...

Data Engineer

Oklahoma City, OK ยท On-site

$106K - $127K/yr

JOB OVERVIEW The mission of the Data Analytics Engineer at Warwick Energy is to bridge the gap between data engineering and business intelligence (BI) teams seamlessly. In this role, you will convert ...

Data Engineer

Edmond, OK ยท On-site

$125K - $150K/yr

Data Engineer Direct Hire * Must be authorized to work in the United States now and in the future without assistance* Pay: $125,000 - $150,000 base salary + annual discretionary bonus Edmond, OK ...

Data Engineer

Oklahoma City, OK ยท On-site

$106K - $127K/yr

Data Engineer Location: Onsite in OKC - 5 days/week Employment Type: Direct Hire Work Authorization: Must be authorized to work in the U.S. now and in the future without sponsorship We're partnering ...

Data Engineer

Oklahoma City, OK ยท On-site

$106K - $127K/yr

Data Engineer Location: Onsite in OKC - 5 days/week Employment Type: Direct Hire Work Authorization: Must be authorized to work in the U.S. now and in the future without sponsorship We're partnering ...

Data Engineer

Edmond, OK ยท On-site

$125K - $150K/yr

Data Engineer Direct Hire * Must be authorized to work in the United States now and in the future without assistance* Pay: $125,000 - $150,000 base salary + annual discretionary bonus Edmond, OK ...

Data Engineer

Oklahoma City, OK ยท On-site

$106K - $127K/yr

Data Engineer Location: Onsite in OKC - 5 days/week Employment Type: Direct Hire Work Authorization: Must be authorized to work in the U.S. now and in the future without sponsorship We're partnering ...

Data Engineer

Edmond, OK

$103K - $124K/yr

The YouVersion Data Engineer will develop and build data pipelines and ETL (Extract, Transform, Load) that lead to increased engagement and growth through the Bible App across the globe. The ...

Data Engineer

Edmond, OK ยท On-site

$103K - $124K/yr

The YouVersion Data Engineer will develop and build data pipelines and ETL (Extract, Transform, Load) that lead to increased engagement and growth through the Bible App across the globe. The ...

Data Engineer

Edmond, OK ยท On-site

$86K - $103K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

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Data information

See Edmond, OK salary details

$41.6K

$149.1K

$220K

How much do data jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data in Edmond, OK is $149,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $153,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are the most commonly searched types of Data jobs in Edmond, OK? The most popular types of Data jobs in Edmond, OK are:
What job categories do people searching Data jobs in Edmond, OK look for? The top searched job categories for Data jobs in Edmond, OK are:
What cities near Edmond, OK are hiring for Data jobs? Cities near Edmond, OK with the most Data job openings:
Infographic showing various Data job openings in Edmond, OK as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $149,095 per year, or $71.7 per hour.

Data Architect

Expand Energy

Oklahoma City, OK โ€ข On-site

$52.25 - $67.25/hr

Full-time

Posted 28 days ago


Job description

Our core values - Stewardship, Character, Collaborate, Learn, Disrupt - are the lens through which we evaluate every business decision. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expand's performance among our E&P competitors.

We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply.ย If you meet any combination of our requirements, we encourage you to apply. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger.

Job Summary

This advisor-level role is responsible for advancing the architecture, scalability, and maturity of the enterprise data platform within the Enterprise Data and Analytics team.

The Data Architect defines and evolves platform capabilities that support analytics, data engineering, machine learning operations (MLOps), and emerging AI-driven use cases, ensuring solutions are scalable, reliable, and aligned with business needs.

This role partners with cross-functional teams to establish standards, patterns, and platform capabilities that enable efficient delivery of data products, machine learning models, and advanced analytics solutions across the organization.

Job Duties & Responsibilities

Data Platform Architecture

  • Define and evolve data platform architecture, ensuring scalability, reliability, and long-term sustainability
  • Establish standards and best practices for data modeling, data pipelines, and platform usage
  • Drive maturity across data platform capabilities, including ingestion, transformation, serving, and governance

MLOps Enablement

  • Lead design and implementation of MLOps capabilities, including model deployment, monitoring, and lifecycle management
  • Establish reusable patterns and frameworks supporting machine learning and data product delivery
  • Support teams in operationalizing machine learning solutions at scale

Emerging Capabilities & Platform Evolution

  • Evaluate and enable platform capabilities to support evolving AI and advanced analytics use cases
  • Ensure the platform can support new workloads and architectural patterns while maintaining stability and performance
  • Recommend tools, technologies, and process improvements to enhance delivery and platform effectiveness

Collaboration & Technical Leadership

  • Partner with business stakeholders and technical teams to define and deliver scalable solutions
  • Provide architectural guidance across multiple teams to ensure consistency and alignment
  • Promote best practices in software engineering, DevOps, and SDLC processes
Job Specific Skills
  • Strong proficiency in Python with experience building and operating production data or ML systems
  • Strong proficiency in SQL and experience with distributed data processing frameworks
  • Expertise in data architecture, data modeling, and data platform design
  • Experience designing and supporting MLOps environments, including pipeline automation, deployment, and monitoring
  • Strong software engineering fundamentals, including object-oriented design, unit testing, exception handling, and use of common design patterns.
  • Expertise in data modeling, data warehousing, and ETL/ELT processes supporting analytics and machine learning cases.
  • Hands-on experience with cloud-based data platforms and architectures, including Snowflake and Databricks.
  • Strong knowledge of CI/CD, DevOps, and release management practices used to deploy and operate production data and machine learning solutions.
  • Strong knowledge of SDLC processes, including Agile methodologies.
  • Ability to define and implement standards, patterns, and reusable frameworks
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Education

Minimum: High school diploma or GED

Preferred: Bachelor's degree in Information Systems, Computer Science, or related field

Experience

Minimum: 8 years related work experience

Preferred: Related work experience in data engineering, software engineering, or data architecture

Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law.

Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore inย the United States.