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Director Databricks Data Engineer Jobs in Oklahoma

Canoo

Canoo Data Platform - Data Engineer

Oklahoma City, OK · On-site

$98K - $118K/yr

The "Canoo Way" Canoo's success is the direct result of our disciplined application of our core ... Job Purpose As a Data Engineer, you will be responsible for developing and maintaining highly ...

Pwc

AI & GenAI Data Scientist - Manager

Tulsa, OK · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Pwc

AI & GenAI Data Scientist - Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Worky

Senior AI Solutions Engineer

Oklahoma City, OK · On-site

$150 - $200/hr

Experience with enterprise AI technologies including Open WebUI, LiteLLM, n8n, Databricks, Glean, or comparable platforms. * Strong understanding of data engineering, data integration, and working ...

Pwc

AI Engineer

Tulsa, OK · On-site

$50K - $112K/yr

... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building and ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

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Manager, Data Engineering

Helmerich & Payne, Inc.

Tulsa, OK • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Job description

At H&P, our people are our strength.
Since 1920, Helmerich and Payne has been the industry's most trusted partner in drilling productivity 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 of success, 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 their unique 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!

Apply