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Databricks Engineer Jobs in Little Elm, TX (NOW HIRING)

Epsilon

Lead Databricks Platform Engineer

Irving, TX

$98K - $129K/yr

Lead and scale Databricks platform administration across enterprise workspaces and multi-cloud ... Partner cross-functionally with Engineering, Security, Cloud, and Operations teams to ensure secure ...

Lorven Technologies

Systems Analyst 3

Celina, TX · On-site

The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines ...

dhanutek

Databricks Administrator

Dallas, TX

Databricks administrator Work location: Dallas, TX/LA Duration: 12 plus months contract with ... Strong understanding of data engineering needs * Strong understanding of aws infrastructure ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Little Elm, TX

Databricks Engineer information

See Little Elm, TX salary details

$54.9K

$103.1K

$187.4K

How much do databricks engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for databricks engineer in Little Elm, TX is $103,059.00, 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 Little Elm, TX?

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

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

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

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

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

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Little Elm, TX as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 7% Hybrid, and 9% Remote job distribution, with an average salary of $103,059 per year, or $49.5 per hour.

Lead Software Engineer (Databricks Platform Engineer)

Vizient, Inc

Irving, TX • On-site

$117.60 - $206/hr

Other

Re-posted 4 days ago

Job description

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 to 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 its 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, 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.
Benefits and Compensation

The current salary range for this role is $117,600.00 to $206,000.00. The position is incentive eligible. Vizient offers a comprehensive benefits plan.

Equal Opportunity Employer

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, national origin, sex, disability, age, or any other category protected by applicable law.

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