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Databricks Engineer Jobs in Justin, TX (NOW HIRING)

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 ...

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 ...

McKesson

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

McKesson

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

The LaSalle Group

Databricks Senior Architect

Dallas, TX · On-site

$180K - $200K/yr

You'll own the end-to-end Databricks architecture (Unity Catalog, Medallion architecture, Delta Lake), lead a team of internal engineers, and direct external consulting partners to keep the migration ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Justin, TX

Databricks Engineer information

See Justin, TX salary details

$70.3K

$131.8K

$239.7K

How much do databricks engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for databricks engineer in Justin, TX is $131,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $156,500.00 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.
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Databricks Engineer jobs near you

Data Engineer (SQL/Databricks/PySpark)

Advent Global Solutions, Inc.

Irving, TX • On-site

$109K - $132K/yr

Other

Posted 4 days ago

Job description

Data Engineer (SQL/Databricks/PySpark)

Location 3 days onsite in Irving, TX local candidates only

Candidate must have databricks, SQL, Pyspark and python, T SQL

preferred .net, C#, Angular.

This is a data intense position that has performance tuning, ETL processes. This is not an architect or lead position it is hand-on dev work. They need to be able to solve, they can use tools in their onsite interview to find the solution but have to be able to explain why they went the route they chose...they must also talk about their previous experience in why they chose the route to solve and logic.

  • 7+ years of relevant experience required.
  • Experience developing and supporting database solutions using SQL Server or Azure SQL required.
  • Strong proficiency in T-SQL, including query development, performance tuning, and optimization required.
  • Hands-on experience using Python for data processing, analytics, or data engineering workflows required.
  • Experience with Databricks, Apache Spark, or similar distributed data processing platforms required.
  • Understanding of data warehousing concepts, dimensional modeling, and ETL/ELT pipelines required.
  • Experience working in Azure cloud environments required.
  • Experience with .Net, C#, .Net Core, Angular and AI/ML preferred.

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