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Databricks Engineer Jobs in Irving, TX (NOW HIRING)

ADDSOURCE

Data Engineer (SQL / Databricks)

Irving, TX · On-site

$109K - $132K/yr

Position Title: Sr. Data Engineer (SQL / Databricks) Work Mode: Hybrid 3 days WFO (Tuesday, Wednesday and Thursday) Client Office Location: Irving, TX Interview: Face-to-Face Client Interview Job ...

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Databricks Engineer information

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How much do databricks engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for databricks engineer in Irving, TX is $106,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $126,600.00 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:

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.

Data Engineer (SQL / Databricks)

Irving, TX • On-site

ADDSOURCE
Marketing • 11 - 50 employees
Learn more about ADDSOURCEexternal

$109K - $132K/yr

Other

Posted 4 days ago

Job description

Position Title: Sr. Data Engineer (SQL / Databricks)

Work Mode: Hybrid 3 days WFO (Tuesday, Wednesday and Thursday)

Client Office Location: Irving, TX

Interview: Face-to-Face Client Interview

Job Summary

We are seeking a highly skilled Senior Database Developer with deep expertise in SQL Server and Azure SQL and hands-on experience with Databricks to design, develop, optimize, and maintain scalable data solutions. The ideal candidate will play a key role in building performant data models, supporting analytics and reporting needs, and collaborating with data engineers, analysts, and application teams in a cloud-based environment.

Key Responsibilities

Database Development and Optimization

Design, develop, and maintain complex SQL Server and Azure SQL databases.

Write and optimize advanced T-SQL queries, stored procedures, functions, and views.

Perform query tuning, indexing strategies, and performance optimization for large-scale datasets.

Implement best practices for database security, data integrity, and reliability.

Cloud and Data Platform

Develop and manage data solutions in Azure SQL Database.

Work with Databricks and Apache Spark to support data transformations, analytics, and large-scale data processing.

Integrate Azure SQL with Databricks using Delta Lake, Spark SQL, and PySpark or SQL where applicable.

Support cloud-based data architectures and hybrid data environments.

Data Modeling and Warehousing

Design and maintain relational and dimensional data models.

Implement Slowly Changing Dimensions (SCD) and other data warehousing patterns.

Support ETL and ELT processes and collaborate with data engineering teams.

Collaboration and Leadership

Partner with application developers, data engineers, BI teams, and stakeholders to understand data requirements.

Provide guidance and mentoring to junior developers.

Participate in code reviews and enforce database development standards.

Troubleshoot production issues and provide root cause analysis.

Required Qualifications

10+ years of experience as a Database Developer or similar role.

Strong expertise in SQL Server and Azure SQL.

Advanced proficiency in T-SQL, including performance tuning and query optimization.

Hands-on experience with Databricks and Apache Spark.

Solid understanding of data warehousing concepts, dimensional modeling, and SCD.

Experience working in Azure cloud environments.

Strong analytical, problem-solving, and communication skills.

Skills

Data Engineering, SQL, Spark, PySpark, ADF, Databricks

VeeRteq Solutions is an Equal Opportunity Employer

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