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Databricks Engineer Jobs in Frisco, TX (NOW HIRING)

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

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 ...

Data Engineer (Databricks)

Dallas, TX · On-site

$113K - $136K/yr

Our teams work at the intersection of strategy, engineering, data, and design, helping clients ... Design, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python

As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sector's Enterprise Technology team, you serve as a seasoned member of an agile team to design and deliver trusted ...

New

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

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

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

Showing results 41-60

Databricks Engineer information

See Frisco, TX salary details

$55.7K

$104.5K

$190K

How much do databricks engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for databricks engineer in Frisco, TX is $104,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $124,000.00 per year, depending on experience, location, and employer.

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 architecture can earn higher compensation, often exceeding $160,000 per year.

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.

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, and their roles are often available across various industries seeking data-driven solutions.
What job categories do people searching Databricks Engineer jobs in Frisco, TX look for? The top searched job categories for Databricks Engineer jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Databricks Engineer jobs? Cities near Frisco, TX with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Frisco, TX as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $104,480 per year, or $50.2 per hour.

Lead Software Engineer (Databricks Platform Engineer)

Vizient, Inc.

Irving, TX • On-site

$117K - $206K/yr

Full-time

Posted 26 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 lead the design, engineering, and evolution of the enterprise Databricks platform as a strategic capability that enables analytics, data products, machine learning, and AI solutions across the organization. You will develop reusable platform services, automation frameworks, reference architectures, and self-service capabilities that accelerate delivery while aligning with enterprise architecture, governance, and engineering standards. You will collaborate with cross-functional teams to enhance developer experience, drive platform adoption, evaluate emerging technologies, and deliver scalable, secure, and cost-effective healthcare data and AI solutions.
Responsibilities:
  • Lead the design, implementation, and continuous evolution of the enterprise Databricks platform and supporting architecture.
  • Develop reusable platform services, reference architectures, engineering standards, and implementation patterns for analytics, data products, streaming, and AI workloads.
  • Build Infrastructure-as-Code, CI/CD pipelines, and automation frameworks to improve platform scalability, reliability, and operational efficiency.
  • Create self-service capabilities, reusable templates, and engineering accelerators that simplify platform onboarding and deployment.
  • Optimize platform performance, scalability, security, governance, and cost efficiency across cloud environments.
  • Enable machine learning and AI platform capabilities by implementing patterns for MLflow, Model Registry, Feature Store, Vector Search, and other Databricks technologies.
  • Partner with Enterprise Architecture, Data Engineering, Product Management, Cloud Engineering, Data Science, and client stakeholders to deliver enterprise platform capabilities.
  • Evaluate emerging Databricks features and cloud technologies, lead proof-of-concepts, and recommend platform enhancements that support business objectives.
  • Provide technical leadership, mentoring, and engineering guidance while promoting Platform-as-a-Product principles and engineering best practices.
  • Drive continuous improvement through automation, innovation, and adoption of enterprise platform standards.

Qualifications:
  • Relevant degree preferred. Advanced degree in Computer Science, Engineering, Information Systems, or a related field preferred.
  • 7 or more years of relevant experience required.
  • 3 or more years of hands-on experience designing, implementing, and supporting Databricks platform solutions required.
  • Strong experience with Azure cloud services, cloud-native architectures, and enterprise platform engineering required.
  • Experience with Terraform, Infrastructure-as-Code, and CI/CD pipelines, and infrastructure automation.
  • Strong knowledge of Delta Lake, Unity Catalog, Apache Spark, and lakehouse architectures.
  • Experience developing reusable platform services, automation frameworks, self-service capabilities, and engineering accelerators.
  • Experience supporting machine learning and AI platform capabilities, including MLflow, Model Registry, Feature Store, Vector Search, or MLOps practices preferred.
  • Databricks certification, experience with streaming and event-driven architectures, enterprise-scale data platforms, or healthcare industry experience 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 $117,600.00 to $206,000.00.
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.