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Databricks Engineer Jobs in Denton, TX (NOW HIRING)

KPMG

Manager, Data Engineer - Databricks

Dallas, TX · On-site

$113K - $136K/yr

KPMG is currently seeking a Manager, Data Engineer - Databricks for our Consulting practice. Responsibilities: * Assist with technical design and development activities and lead a small workstream ...

JPS Tech Solutions LLC

Databricks Admin

Dallas, TX · On-site

Strong understanding of data engineering needs Strong understanding of aws infrastructure required by Databricks Experience with compliance audits/audit documentation Experience using Databricks APIs ...

Noblesoft Technologies

Databricks Architect

Dallas, TX · Remote

$66.25 - $87/hr

Subject Matter Expert (SME) level experience in Cloud Engineering, specifically with Databricks, Azure Data Factory, Data Lake, Delta Lake, and UnityCatalog. * Proficiency in Python, Spark, and ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site +1

This role will provide technical solution to multiple engineering and operation teams, develop ... Requirements The Azure Databricks Administrator will be responsible for providing technical ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX

This role will provide technical solution to multiple engineering and operation teams, develop ... Requirements The Azure Databricks Administrator will be responsible for providing technical ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · Remote

This role will provide technical solution to multiple engineering and operation teams, develop ... Requirements The Azure Databricks Administrator will be responsible for providing technical ...

KPMG

Senior Associate, Data Engineer - Databricks

Dallas, TX · On-site

$104K - $142K/yr

Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified * Bachelor's degree in ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Denton, TX

Databricks Engineer information

See Denton, TX salary details

$55.8K

$104.7K

$190.3K

How much do databricks engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for databricks engineer in Denton, TX is $104,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $124,200.00 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 Denton, TX?

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

What job categories do people searching Databricks Engineer jobs in Denton, TX look for?

The top searched job categories for Databricks Engineer jobs in Denton, TX are:

What cities near Denton, TX are hiring for Databricks Engineer jobs?

Cities near Denton, TX with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Denton, TX as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $104,667 per year, or $50.3 per hour.

Senior Software Engineer (Databricks Platform Engineer)

Irving, TX

Vizient
Health Care and Social Assistance • 501 - 1,000 employees
Learn more about Vizientexternal

$102K - $179K/yr

Full-time

Re-posted 29 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:


In this role, you will design, build, and enhance the enterprise Databricks platform to support analytics, data products, machine learning, and AI initiatives across the organization. You will collaborate with Enterprise Architecture, Data Engineering, Product Management, Cloud Engineering, and Data Science teams to develop reusable platform services, automation frameworks, engineering standards, and self-service capabilities that improve platform adoption, developer experience, and engineering productivity while advancing the organization's enterprise data and AI platform.

Responsibilities:

  • Develop and enhance enterprise Databricks platform capabilities that support analytics, data products, machine learning, and AI workloads.
  • Implement platform architectures, engineering standards, and reusable design patterns aligned with enterprise technology strategies.
  • Build and maintain Infrastructure-as-Code solutions, CI/CD pipelines, and platform automation to improve consistency and operational efficiency.
  • Create reusable templates, accelerators, and deployment patterns that enable self-service platform adoption and solution delivery.
  • Optimize platform scalability, performance, reliability, and cost efficiency across cloud environments.
  • Collaborate with Enterprise Architecture, Cloud Engineering, Data Engineering, Product Management, and Data Science teams to operationalize platform capabilities.
  • Support platform services including MLflow, Model Registry, Feature Store, Vector Search, and related Databricks capabilities.
  • Evaluate emerging Databricks features and cloud technologies through technical assessments and proof-of-concepts.
  • Recommend platform enhancements, automation opportunities, and engineering best practices that improve developer experience and platform maturity.
  • Contribute to the evolution of enterprise platform standards, reference architectures, and strategic roadmap initiatives.

Qualifications:

  • Relevant degree preferred.
  • 5 or more years of relevant experience required.
  • 2 or more years of hands-on experience with the Databricks platform required.
  • Experience with Azure cloud services and cloud-native architectures preferred.
  • Experience developing and maintaining Infrastructure-as-Code solutions using Terraform and CI/CD pipelines.
  • Strong knowledge of Delta Lake, Unity Catalog, Apache Spark, and lakehouse architecture concepts.
  • Experience developing automation solutions and reusable engineering components.
  • Experience with MLflow, MLOps, AI platform technologies, streaming, or event-driven architectures preferred.
  • Strong analytical, problem-solving, collaboration, and communication skills.
  • Experience supporting enterprise-scale data platforms and healthcare or other regulated environments preferred.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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