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Manager Data Engineering Jobs in Oklahoma (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Develop team capabilities through coaching, performance management, and professional development. Assist in the development and execution of data engineering standards, policies, and best practices.

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Data Engineering & Systems Management * Build, maintain, and continuously improve scalable data pipelines, integrations, and warehouse workloads that support ...

Data Engineer

Tulsa, OK

$104K - $125K/yr

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Data Engineering & Systems Management * Build, maintain, and continuously improve scalable data pipelines, integrations, and warehouse workloads that support ...

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Data Engineering & Systems Management * Build, maintain, and continuously improve scalable data pipelines, integrations, and warehouse workloads that support ...

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

... Engineering role supporting a growing analytics and data platform. This position is ideal for ... Ability to work onsite, collaborate closely with stakeholders, and manage multiple priorities If ...

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

... Engineering role supporting a growing analytics and data platform. This position is ideal for ... Ability to work onsite, collaborate closely with stakeholders, and manage multiple priorities If ...

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

... Engineering role supporting a growing analytics and data platform. This position is ideal for ... Ability to work onsite, collaborate closely with stakeholders, and manage multiple priorities If ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Data Engineer II

Tulsa, OK · On-site

$120/hr

Key Responsibilities Data Engineering & Development (50%) * Design, develop, enhance, and maintain ... Knowledge of master data management, data governance, and data quality frameworks. * Experience ...

Data Engineer II

Tulsa, OK · On-site

$120/hr

Key Responsibilities Data Engineering & Development (50%) * Design, develop, enhance, and maintain ... Knowledge of master data management, data governance, and data quality frameworks. * Experience ...

Data Engineer

Edmond, OK · On-site

$125K - $150K/yr

Design, manage, and optimize data models, schemas, views, and database structures. * Support Azure ... Qualifications: * 4+ years of experience in data engineering or a related data-focused role.

Data Engineer

Edmond, OK · On-site

$125K - $150K/yr

Design, manage, and optimize data models, schemas, views, and database structures. * Support Azure ... Qualifications: * 4+ years of experience in data engineering or a related data-focused role.

Job Summary As a Staff Data Engineer, you will focus on designing and building data infrastructure ... engineering, analytics, and business teams to deliver scalable solutions. * Ability to manage ...

Data Engineering & Compute Optimization, Establish and govern best practices for Spark-based data processing, performance tuning, cost optimization, and workload management, Drive compute efficiency ...

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Showing results 1-20

Manager Data Engineering information

See Oklahoma salary details

$28.6K

$89.7K

$158.8K

How much do manager data engineering jobs pay per year?

As of Jul 28, 2026, the average yearly pay for manager data engineering in Oklahoma is $89,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,900.00 and $115,900.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
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 Manager Data Engineering jobs in Oklahoma? For Manager Data Engineering jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Oklahoma look for? The top searched job categories for Manager Data Engineering jobs in Oklahoma are:
What cities in Oklahoma are hiring for Manager Data Engineering jobs? Cities in Oklahoma with the most Manager Data Engineering job openings:
Infographic showing various Manager Data Engineering job openings in Oklahoma as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $89,697 per year, or $43.1 per hour.
Manager, Data Engineering

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 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!