1

Senior Databricks Data Engineer Jobs in Oklahoma

Databricks Platform Administration & Optimization * Apache Spark / PySpark * Azure Data Lake ... GitHub, Git, Azure DevOps * Power BI, Tableau, Cognos, OBIEE * Python, SQL, Spark Soft Skills

Sr. ML Ops Engineer

Oklahoma City, OK

$85K - $117K/yr

... 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 ...

Sr. ML Ops Engineer

Oklahoma City, OK ยท On-site

$85K - $117K/yr

... 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 ...

AI Engineer

Tulsa, OK ยท On-site

$55K - $187K/yr

As a Senior Associate, you will leverage your skills to analyze complex problems, mentor others ... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ...

Data Architect

Oklahoma City, OK

$52.25 - $67.25/hr

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 ...

Data Architect

Oklahoma City, OK ยท On-site

$52.25 - $67.25/hr

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 ...

As a Senior Data Manager within PNC's Data products organization, you will be based in Strongsville ... Data Engineering & Compute Optimization, Establish and govern best practices for Spark-based data ...

Showing results 41-60

Senior Databricks Data Engineer information

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
What are the most commonly searched types of Databricks Data Engineer jobs in Oklahoma? The most popular types of Databricks Data Engineer jobs in Oklahoma are:
What are popular job titles related to Senior Databricks Data Engineer jobs in Oklahoma? For Senior Databricks Data Engineer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Senior Databricks Data Engineer jobs in Oklahoma look for? The top searched job categories for Senior Databricks Data Engineer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Senior Databricks Data Engineer jobs? Cities in Oklahoma with the most Senior Databricks Data Engineer job openings:

Manager, Data Engineering

Helmerich Payne

Tulsa, OK โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 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!