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Data Engineering Jobs in Oklahoma (NOW HIRING)

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

S. now and in the future without sponsorship We're partnering with a client on a direct-hire Data Engineering role supporting a growing analytics and data platform. This position is ideal for someone ...

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

S. now and in the future without sponsorship We're partnering with a client on a direct-hire Data Engineering role supporting a growing analytics and data platform. This position is ideal for someone ...

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

S. now and in the future without sponsorship We're partnering with a client on a direct-hire Data Engineering role supporting a growing analytics and data platform. This position is ideal for someone ...

Data Engineer II

Tulsa, OK · On-site

$120/hr

Key Responsibilities Data Engineering & Development (50%) * Design, develop, enhance, and maintain data pipelines following established software development and data governance practices. * Connect ...

Data Engineer II

Tulsa, OK · On-site

$120/hr

Key Responsibilities Data Engineering & Development (50%) * Design, develop, enhance, and maintain data pipelines following established software development and data governance practices. * Connect ...

Data Engineer

Edmond, OK · On-site

$125K - $150K/yr

Qualifications: * 4+ years of experience in data engineering or a related data-focused role. * Strong hands-on experience with Databricks, including Jobs/Workflows, PySpark, Spark SQL, and Delta Lake.

Data Engineer

Edmond, OK · On-site

$125K - $150K/yr

Qualifications: * 4+ years of experience in data engineering or a related data-focused role. * Strong hands-on experience with Databricks, including Jobs/Workflows, PySpark, Spark SQL, and Delta Lake.

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

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 ...

Data Engineer

Tulsa, OK

$104K - $125K/yr

This role requires strong hands-on experience in Python-based data engineering, cloud data environments, relational databases, and backend systems integration. You will support the full lifecycle of ...

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

This role requires strong hands-on experience in Python-based data engineering, cloud data environments, relational databases, and backend systems integration. You will support the full lifecycle of ...

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

This role requires strong hands-on experience in Python-based data engineering, cloud data environments, relational databases, and backend systems integration. You will support the full lifecycle of ...

Collaborate with cross-functional teams, including analytics, engineering, and operations, to translate business requirements into reliable data solutions. * Establish and maintain data quality ...

Applied Data Engineer

Oklahoma City, OK · On-site

$93K - $112K/yr

The ideal candidate combines strong engineering fundamentals with practical experience across Microsoft's cloud data platform, including Azure and Fabric services such as OneLake, Lakehouse ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

$158K - $204K/yr

Role purpose The VP, Build - Data, Engineering & AI is the owner of the International Commercial build engine, accountable for turning prioritized demand into trusted, reusable and production-grade ...

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Showing results 1-20

Data Engineering information

See Oklahoma salary details

$42.5K

$152.4K

$224.8K

How much do data engineering jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data engineering in Oklahoma is $152,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $157,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Oklahoma? The most popular types of Data Engineering jobs in Oklahoma are:
What are popular job titles related to Data Engineering jobs in Oklahoma? For Data Engineering jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Data Engineering jobs? Cities in Oklahoma with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Oklahoma as of July 2026, with employment types broken down into 89% Full Time, 4% Temporary, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $152,367 per year, or $73.3 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

At H&P, our people are our strength.

Since 1920,Helmerich and Paynehas been the industry's most trusted partner in drillingproductivity and reliability. As the world changes, so does our approach. We are changing the landscape of drilling by using cutting-edge rig technologies and drilling solutions to build upon a century ofsuccess, all while continuing to deliver better outcomes for our customers.

At H&P, our people are our strength. We strive to continually lead with our Core Values that enable employees to develop on their H&P Journey. We believe that doing the right thing means creating a more diverse, equitable, and inclusive workplace that empowers our people to bring their authentic selves to work every day.

Some companies offer career paths. We offer a Journey of a Lifetime. Let's go far, together.

Hear directly from our employees, and leaders about theirunique journeys at Helmerich and Payne.

At a Glance:

We are seeking an experienced and strategic Data Warehouse & Data Engineering Manager to lead the design, development, optimization, and governance of enterprise data platforms and analytics solutions. This role is responsible for managing data engineering teams, architecting scalable data warehouse solutions, and enabling business intelligence, reporting, and advanced analytics across the organization.

Location: Tulsa, OK

Work Type: On-Site

#LI-On-Site

What you will do:

  • Lead and mentor teams of data engineers, ETL developers, BI developers, and data architects.

  • Define and execute enterprise data warehouse and data engineering strategy.

  • Design and maintain enterprise data lakes, lakehouse architectures, and cloud analytics platforms.

  • Build scalable ETL/ELT pipelines supporting structured and unstructured data.

  • Lead migration initiatives from legacy platforms to modern cloud ecosystems.

  • Collaborate with business stakeholders across Finance, Operations, Supply Chain, and IT.

  • Ensure data quality, governance, security, and operational excellence.

  • Support enterprise BI, reporting, KPI dashboards, and AI/ML initiatives.

What you will need:

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, related field or equivalent experience.

  • 8+ years of experience in data warehousing, data engineering, or analytics environments.

  • 3+ years of technical leadership or management experience.

  • Strong expertise with SQL Server, Oracle, ETL development, and enterprise data modeling.

  • Experience with Azure, AWS, or Google Cloud data platforms.

  • Experience supporting ERP ecosystems such as Oracle EBS, SAP, Workday, or Dynamics.

Modern Data Platform & Technical Skills
  • Enterprise Data Lake Architecture

  • Lakehouse Design & Medallion Architecture

  • Delta Lake & Delta Live Tables

  • Databricks Platform Administration & Optimization

  • Apache Spark / PySpark

  • Azure Data Lake Storage (ADLS)

  • Azure Synapse Analytics

  • Microsoft Fabric

  • Real-Time & Streaming Data Architectures

  • Databricks SQL & Unity Catalog

  • MLflow & AI/ML Data Enablement

  • Data Governance & Master Data Management

  • ETL / ELT Modernization

  • Change Data Capture (CDC)

  • CI/CD Pipelines & DataOps

  • GitHub, Git, Azure DevOps

  • Power BI, Tableau, Cognos, OBIEE

  • Python, SQL, Spark

Soft Skills
  • Strong leadership and mentoring capabilities

  • Excellent communication and stakeholder management

  • Strategic thinking with hands-on technical expertise

  • Problem-solving and architectural decision-making

  • Ability to manage multiple priorities and complex enterprise initiatives

Preferred Industry Experience
  • Oil & Gas

  • Manufacturing

  • Energy

  • Financial Services

  • Healthcare

  • Retail & Supply Chain

Enterprise ERP, Finance & Industry Expertise
  • Strong functional understanding of Finance, Accounting, Procurement, and Supply Chain business processes

  • Experience supporting enterprise ERP ecosystems including Oracle EBS, SAP, Microsoft Dynamics, and Workday

  • Knowledge of Oracle EBS modules including Financials, Procurement, Supply Chain, Inventory, Projects, and HR

  • Experience integrating ERP data into enterprise data warehouses and analytics platforms

  • Ability to collaborate with Finance and Supply Chain stakeholders to develop scalable operational reporting and KPI solutions

  • Experience with Oil & Gas operational, drilling, production, and financial data environments

  • Knowledge of upstream Oil & Gas business processes and operational analytics

  • Experience designing enterprise reporting and analytics solutions for operational and financial decision-making

  • Cross-functional expertise supporting Operations, Supply Chain, Finance, and Executive Leadership reporting initiatives

  • Hands-on experience with Microsoft Fabric architecture and implementation

  • Experience building unified analytics solutions using Microsoft Fabric

  • Knowledge of Fabric Lakehouse, Warehouse, Data Factory, and Real-Time Analytics

  • Experience integrating Microsoft Fabric with Azure Data Lake, Power BI, and enterprise ERP systems

  • Understanding of OneLake architecture and enterprise data consolidation strategies

  • Experience implementing scalable analytics and self-service reporting solutions using Microsoft Fabric

  • Knowledge of Fabric data governance, security, and workspace administration

  • Experience supporting AI-enabled analytics and modern data platform initiatives within Microsoft Fabric ecosystem

What we offer:

At H&P, our commitment to our people is at the forefront, and that includes benefits that provide employees a sense of health and financial security. We know that life continues outside of employment and actively caring of our people is our priority.

  • Flexible Spending or Health Savings Accounts

  • 401k match

  • Paid Leave Plans

  • Parental & Adoption Benefits

  • Disability Coverage

  • Employee Assistance Program

  • Educational Assistance

  • Learning & Development Opportunities

  • Flex-scheduling available for qualifying positions to achieve work-life integration

  • Comprehensive medical, dental, vision, and life insurance

The job level and associated compensation for this position will be determined based on the candidate's experience, qualifications, and alignment with the role's requirements. Final compensation for this role may vary depending on individual factors.

H&P is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Thank you for your interest in joining our team!