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Data Modeling Jobs in Oklahoma (NOW HIRING)

System One

Data Platform Lead

Tulsa, OK · On-site

Develop and maintain data models that support consistent and reliable analytics * Establish and maintain data governance, data quality, and documentation standards * Create and maintain a long-term ...

System One

Data Platform Lead

Tulsa, OK · On-site

Develop and maintain data models that support consistent and reliable analytics * Establish and maintain data governance, data quality, and documentation standards * Create and maintain a long-term ...

Accenture

$47.75 - $62/hr

Work effectively within cross-functional delivery teams spanning Data Engineering, AI/ML, Product, and Business SMEs * Collaborate with and support junior team members, sharing knowledge and modeling ...

mytfcuhr

Data Engineer I,II,III, SR

Oklahoma City, OK · On-site

$106K - $133K/yr

Ensures efficient and reliable access to data across the organization by designing robust data models, optimizing data workflows, and implementing data quality and governance practices. * Collaborate ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$140 - $180/hr

Data Engineering & Integration Design, develop, and maintain enterprise data pipelines, data models, and integrations across ERP, CRM, HR, finance, and manufacturing systems. * Build and optimize ETL ...

ONEOK, Inc

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

Data Modeling and visualization experience preferred (SQL, Power BI, Spotfire, etc.) Licenses and Certifications * None required Strength Factor Rating - Physical Demands/Requirements * Sedentary ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Design, develop, and maintain enterprise data pipelines, data models, and integrations across ERP, CRM, HR, finance, and manufacturing systems. * Build and optimize ETL/ELT processes for efficient ...

AAON, Inc.

Data and Analytics AI Engineer

Tulsa, OK

$104K - $125K/yr

Design, develop, and maintain enterprise data pipelines, data models, and integrations across ERP, CRM, HR, finance, and manufacturing systems. * Build and optimize ETL/ELT processes for efficient ...

Stem Xpert

Data Architect

Tulsa, OK · On-site

$58.25 - $75/hr

... data modeling efforts to ensure a successful implementation Leads and consults on the implementation and integration of data warehouses Establishes standards and guidelines for the design ...

InTulsa Initiative LLC

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Strong command of SQL, relational databases, and data modeling concepts, with the ability to ... structure and optimize data for downstream use. * Proven ability to integrate and manage data ...

Tulsa Community Foundation

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Strong command of SQL, relational databases, and data modeling concepts, with the ability to ... structure and optimize data for downstream use. * Proven ability to integrate and manage data ...

Humana

You will help our organization become a model for others in our industry through our data strategy. You will report to the Principal Solutions Architect and directly support corporate services ...

Humana

You will help our organization become a model for others in our industry through our data strategy. You will report to the Principal Solutions Architect and directly support corporate services ...

Humana

You will help our organization become a model for others in our industry through our data strategy. You will report to the Principal Solutions Architect and directly support corporate services ...

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All JobsData Modeling JobsData Modeling Jobs in Oklahoma

Data Modeling information

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How much do data modeling jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data modeling in Oklahoma is $54.21, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $63.03 per hour, depending on experience, location, and employer.

What is a data modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.

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

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

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

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

Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $112,760 per year, or $54.2 per hour.

Senior Data Analyst - Reservoir Engineering

Continental Resources, Inc.

Oklahoma City, OK • On-site

$79K - $100K/yr

Full-time

Re-posted yesterday

Job description

Job Summary
The Senior Data Analyst - Reservoir Engineering is primarily responsible for executing projects to streamline processes and produce data-driven insights to support the Resource Development engineering team and other stakeholders across the organization. A successful candidate will actively seek and generate new and innovative ways to retrieve, visualize, and analyze data across a variety of operational, geologic and financial data sources.
Duties and Responsibilities
  • Collaborates with varying levels of reservoir engineers, petrotechnical professionals, financial professionals, and management to effectively gather data/reporting requirements and build complex datasets, visualizations, analytical tools, and reports.
  • Discovers and troubleshoots data issues across sources and drives issues to resolution.
  • Mentors and trains junior staff; creates training content and executes across the team, department, and company.
  • Utilizes SQL to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems, and create data tables and views in Databricks.
  • Owns, maintains and enhances business-critical Spotfire and Power BI analyses; creates new projects from scratch using data from a variety of sources across the enterprise.
  • Leverages automation and AI tools to streamline processes, automate manual workflows, and create scalable, enterprise solutions.
  • Performs data capture processes as necessary to support analytics efforts.
  • Other duties as assigned.

Skills and Competencies
  • Strong understanding of E&P operations, with in-depth knowledge of reservoir engineering concepts, geoscience data, and business development projects.
  • Problem solver capable of anticipating engineering requirements and proactively recommending solutions and data-driven insights.
  • Understands the data models of Continental's primary data sources including Aries, WellView, SiteView, ProCount, Planning Analytics, eGIS, WLM, S&P Global, and Enverus.
  • Detail oriented with ability to retrieve, organize, and synthesize large amounts of data to generate high-quality, executive-level quality presentations in an efficient manner.
  • Advanced skills with data & analytics applications.
  • Advanced knowledge of data modeling and data integration principles and techniques.
  • Advanced programming skills capable of using all available techniques.
  • Flexible and adaptable, quickly adjust to process changes and shifting priorities.

Required Qualifications
  • High School Diploma or GED.
  • Minimum of eight (8) years of experience within the oil and gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, or related role.
  • Advanced experience in Aries or other Economic Evaluation software with thorough understanding of economic engine, data streams, data models.
  • Advanced skills within SQL with the ability to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems and create data tables and views within CLR's data warehouse.
  • Advanced skills in Spotfire with the ability to use, deconstruct, and enhance existing analyses and create new projects leveraging multiple data sources and data functions.
  • An acceptable pre-employment background and drug test.

Preferred Qualifications
  • Bachelor's Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science/Management, Economics, Finance, Accounting or related degree.
  • Intermediate skills developing automated workflows using UiPath, Grooper or Alteryx
  • Advanced coding skills in R or Python

Physical Requirements and Working Conditions
  • Requires prolonged sitting, some bending and stooping.
  • Occasional lifting up to 25 pounds.
  • Manual dexterity sufficient to operate a computer keyboard and calculator.

Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.

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