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Databricks Engineer Jobs in Oklahoma (NOW HIRING)

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Minimum of 7 years of experience in data architecture or enterprise data engineering * Minimum of 4 ... Minimum of 4 years of experience with cloud data platforms (e.g., Snowflake, Databricks, Azure ...

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Databricks Engineer information

See Oklahoma salary details

$54.9K

$103.1K

$187.4K

How much do databricks engineer jobs pay per year?

As of Jul 18, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

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 $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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, and why are they important?

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 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:
Lead Data Science Engineer

$121K - $225K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 14 days ago


Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryThis position is responsible for the engineering work necessary for successful creation, deployment and managing of AI capabilities of the Intelligent Delivery Platform. This includes
- ensuring data quality,
- creation of new data pipelines,
- optimization and management of existing data pipelines,
- ingestion and curation of data sources for Gen AI purposes (including chunking/embedding strategies for RAG system),
- AI Agent delivery,
- Prompt Engineering,
- selection and configuration of AI-specific tools and platforms
- management and monitoring of AI models through MLOps tools and model ops practices.
To operationalize AI capabilities, they will work closely with larger team who will supplement where traditional application development support is needed.

NOTE: This is a WFH role. Sponsorship is NOT available.

Required Job Qualifications:

  • Bachelor degree and 5 years of work experience in a computer science, engineering, or related field OR Master's degree and 4 years of work experience in a computer science, engineering, or related field OR Ph.D. and 2 years of work experience in a computer science, engineering, or related field"
  • Learning and growth mindset.
  • Customer-focused.
  • Interpersonal, verbal and written communication skills.
  • Must demonstrate proficiency in at least five and mastery in one of the following six areas: data analysis and relational-style query languages; data pipelining and ETL; working with semi structured and unstructured data; a high- level programming language; distributed computing; understanding of healthcare.
  • Proficiency in iterative development practices.
  • Independently delivering or leading the delivery of data engineering solutions for multiple complex analytics or data science projects and products.
  • A track record of independently delivering or leading the delivery of ML engineering capabilities.
  • Experience in Python-based Data Science frameworks (LangChain, LangGraph, LangFuse).
  • Experience in Model evaluation and deployment.
  • Experience in data curation, prep, training, and fine-tuning of Models.
  • Experience in evaluation frameworks
  • Experience in prompt engineering
  • Experience in working with multiple Models

Preferred Job Qualifications:

  • Master degree in a computational field, or Bachelor degree with significant healthcare experience
  • Understanding PySpark / Databricks to efficiently work with large data sets
  • Azure Cloud Infrastructure / Deployment with emphasis on AI related tooling, Azure ML, Azure OpenAI, etc.
  • Experience in Observability Frameworks and Framework Operationalization.
  • Experience in creation of knowledge graph database (neo4J)
  • Experience in working with Small Language Models or custom Models

#LI-BS1

#LI-Hybrid

#INCR

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$121,200.00 - $225,200.00

Exact compensation may vary based on skills, experience, and location.