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Databricks Engineer Jobs in Oklahoma (NOW HIRING)

Addison Group

Data Engineer

Edmond, OK · On-site

$125K - $150K/yr

Data Engineer Direct Hire * Must be authorized to work in the United States now and in the future ... The ideal candidate will have strong experience with Databricks, Azure SQL, Python, and SQL, along ...

Addison Group

Data Engineer

Edmond, OK · On-site

$125K - $150K/yr

Data Engineer Direct Hire * Must be authorized to work in the United States now and in the future ... The ideal candidate will have strong experience with Databricks, Azure SQL, Python, and SQL, along ...

Neshent Technologies

OK · On-site

$89K - $106K/yr

Strong experience with Azure Databricks -- Notebooks, Jobs/Workflows, PySpark/Scala, Delta Lake, cluster configuration, and optimization. * Advanced Python or Scala with strong coding standards ...

BravoTech

Project Engineer IV

Tulsa, OK · On-site

- Hybrid in Tulsa, OK OR Houston, TX As a Product Engineer IV, you will play a critical role in ... Databricks (required) * Blazor, C#, and .NET development (required) * Mobile application ...

Oneok, Inc.

AI Engineer III

Tulsa, OK · On-site

Strong Python engineering skills, with familiarity in at least one of: optimization, forecasting ... Experience with modern data platforms and technologies (e.g., Spark, Databricks, Snowflake) is a ...

ONEOK, Inc

AI Engineer III

Tulsa, OK

Strong Python engineering skills, with familiarity in at least one of: optimization, forecasting ... Experience with modern data platforms and technologies (e.g., Spark, Databricks, Snowflake) is a ...

Expand Energy

Sr. ML Ops Engineer

Oklahoma City, OK · On-site

$85K - $117K/yr

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 ...

Expand Energy

Sr. ML Ops Engineer

Oklahoma City, OK · On-site

$85K - $117K/yr

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 ...

Pwc

AI Engineer

Tulsa, OK · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

ACCLiiVE

Azure Web and Mobile Developer - Tulsa, OK

Tulsa, OK · On-site

$47.75 - $59.25/hr

Azure Web and Mobile Developer Tulsa, Oklahoma Remote Must Have(5-10years): Design, develop, and ... AI, Databricks Azure certifications (AZ 204 / AZ 305) preferred Accliive, is an IT Consulting ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Oklahoma

Databricks Engineer information

See Oklahoma salary details

$54.9K

$103.1K

$187.4K

How much do databricks engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for databricks engineer in Oklahoma is $103,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $122,300.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Oklahoma?

For Databricks Engineer jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Oklahoma look for?

The top searched job categories for Databricks Engineer jobs in Oklahoma are:

What cities in Oklahoma are hiring for Databricks Engineer jobs?

Cities in Oklahoma with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Oklahoma as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $103,073 per year, or $49.6 per hour.

Data Engineer

Addison Group

Edmond, OK • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

Data Engineer
Direct Hire * Must be authorized to work in the United States now and in the future without assistance*
Pay: $125,000 - $150,000 base salary + annual discretionary bonus
Edmond, OK - Hybrid schedule with flexibility. Candidates must be local to the Edmond/Oklahoma City area and available to work onsite as needed for collaboration and project work.
Benefits: This position is eligible for medical, dental, vision, and 401(k). Additional benefits include a company-sponsored HSA contribution, 3% 401(k) match, approximately 3 weeks of paid vacation, and employer-paid portions of medical and dental premiums.
About The Company:
A rapidly growing oilfield services organization providing specialized solutions and technical expertise to support energy operators. The company leverages technology, operational expertise, and data-driven insights to improve efficiency, safety, and performance within the drilling industry.
With operations across the U.S. and Mexico, the organization is continuing to invest in technology platforms and data capabilities to support growth, improve processes, and enable better business decisions.
Job Description:
We are seeking a Data Engineer to help build, maintain, and scale the company's data platform. This role will own the development of reliable data pipelines, data transformation workflows, and data models that support internal applications, reporting, and analytics teams.
The ideal candidate will have strong experience with Databricks, Azure SQL, Python, and SQL, along with a passion for solving complex data challenges and improving data reliability. This is a highly autonomous role where the individual will have ownership over critical data processes and help shape the future of the company's data infrastructure.
Key Responsibilities:
  • Build, maintain, and support end-to-end data pipelines from ingestion through delivery.
  • Develop and schedule transformation workflows using Databricks, PySpark, Spark SQL, and Delta Lake.
  • Design, manage, and optimize data models, schemas, views, and database structures.
  • Support Azure SQL database administration, including performance tuning, security, access controls, and reliability.
  • Integrate data from internal and external sources, including APIs and operational systems.
  • Develop automated processes for data ingestion, transformation, monitoring, and troubleshooting.
  • Implement data quality checks, error handling, workflow monitoring, and alerting processes.
  • Create curated datasets to support application developers, business teams, and analytics users.
  • Document data workflows, models, and processes to ensure long-term maintainability.

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.
  • Advanced SQL experience, including Azure SQL/T-SQL, query optimization, indexing, and schema design.
  • Experience administering and maintaining production databases.
  • Strong Python skills for data ingestion, automation, and transformation.
  • Experience working with REST APIs, including authentication, pagination, and data extraction.
  • Understanding of production data workflows, scheduling, monitoring, troubleshooting, and reliability practices.
  • Strong analytical and problem-solving skills with the ability to work independently.

Additional Details:
  • This position will serve as the primary Data Engineer supporting the organization's growing data platform.
  • The role requires someone who is self-sufficient, proactive, and comfortable owning projects from concept through implementation.
  • This position is focused on data engineering, data platforms, and data reliability - not frontend development, application development, or dashboard creation.
  • Oil & gas or drilling industry experience is highly preferred but not required.
  • ERP data experience, particularly NetSuite, is a plus.

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