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Databricks Engineer Jobs in Irving, TX (NOW HIRING)

Prophecy Technologies

Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role is for a skilled Data Engineer with extensive hands-on experience in Databricks, focusing on building and optimizing scalable data pipelines. The successful candidate will leverage advanced ...

Epsilon

Lead Databricks Platform Engineer

Irving, TX · On-site

$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 ...

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 ...

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 ...

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 ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Irving, TX

Databricks Engineer information

See Irving, TX salary details

$54.9K

$102.9K

$187.2K

How much do databricks engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for databricks engineer in Irving, TX is $102,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $122,200.00 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 Irving, TX?

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

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

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

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

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

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Irving, TX as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $107,194 per year, or $51.5 per hour.

Databricks Data Engineer

Dallas, TX • On-site

Prophecy Technologies
Professional, Scientific, and Technical Services • 11 - 50 employees
Learn more about Prophecy Technologiesexternal

$113K - $136K/yr

Full-time

Posted 26 days ago

Job description

Role Overview:
This role is for a skilled Data Engineer with extensive hands-on experience in Databricks, focusing on building and optimizing scalable data pipelines. The successful candidate will leverage advanced SQL and Python for data transformation and automation, and utilize data visualization tools to deliver critical business insights. A strong understanding of healthcare data models and SAP Supply Chain Management is also essential.
Key Responsibilities:
  • Develop and manage scalable data pipelines using Databricks, including Delta Lake and Spark technologies.
  • Execute complex data transformation, optimization, and automation tasks with advanced proficiency in SQL and Python.
  • Create and implement data visualization solutions using tools such as Tableau or Power BI to provide actionable insights.
  • Apply a deep understanding of healthcare data models, claims/clinical datasets, and relevant domain-specific compliance considerations.
  • Utilize strong SAP domain expertise, particularly within Supply Chain Management, to inform and enhance data solutions.

Required Skills:
  • Strong hands-on experience with Databricks (Delta Lake, Spark).
  • Advanced proficiency in SQL and Python for data manipulation and automation.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Solid understanding of healthcare data models, claims/clinical datasets, and domain-specific compliance.
  • Strong SAP domain expertise in Supply Chain Management.

Qualifications:
  • [No specific years of experience or educational qualifications were provided in the job description.]

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