ZipRecruiter

Log In

1

Databricks Engineer Jobs (NOW HIRING)

CEDENT

Azure Databricks Engineer

Dallas, TX · On-site

$59.25 - $77.25/hr

Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting. * Data Engineering & Integration : * Design and implement ETL/ELT processes to ...

Hitachi

Sr Databricks Engineer

Dallas, TX · On-site

$103K - $142K/yr

Preferred Qualifications Databricks Certified Data Engineer Professional / Architect certification. AWS/Azure/GCP cloud architect certifications. Experience with BI tools (Tableau, Power BI, Looker)

New

Hitachi Automotive Systems Americas, Inc.

$130 - $190/hr

Databricks Certified Data Engineer Professional / Architect certification. * AWS/Azure/GCP cloud architect certifications. * Experience with BI tools (Tableau, Power BI, Looker). * Experience in ...

New

Hitachi Careers

Sr Databricks Engineer

Dallas, TX · On-site

$103K - $142K/yr

Preferred Qualifications Databricks Certified Data Engineer Professional / Architect certification. AWS/Azure/GCP cloud architect certifications. Experience with BI tools (Tableau, Power BI, Looker)

New

Hitachi, Ltd.

Sr Databricks Engineer

Dallas, TX · On-site

$103K - $142K/yr

Preferred Qualifications Databricks Certified Data Engineer Professional / Architect certification. AWS/Azure/GCP cloud architect certifications. Experience with BI tools (Tableau, Power BI, Looker)

Techvilla Solutions

Senior Databricks Engineer

Cramerton, NC · On-site

$94K - $129K/yr

Required Skills * 5-10 years of experience in Data Engineering, Data Integration, or Data Warehousing. * Strong hands-on experience with Azure Databricks. * Strong knowledge of the Azure ecosystem.

Nationwide IT Services, Inc.

$125 - $178/hr

Data Engineer / Databricks Engineer-Senior Location: Hybrid - Air National Guard Readiness Center (ANGRC), Joint Base Andrews, MD; up to 3 telework days per week. Remote work may be authorized by the ...

New

previous page

Showing results 41-60

All JobsDatabricks Engineer Jobs

Databricks Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do databricks engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for databricks engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 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.
More about Databricks Engineer jobs

What cities are hiring for Databricks Engineer jobs?

Cities with the most Databricks Engineer job openings:

What states have the most Databricks Engineer jobs?

States with the most job openings for Databricks Engineer jobs include:

What job categories do people searching Databricks Engineer jobs look for?

The top searched job categories for Databricks Engineer jobs are:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Azure Databricks Engineer

ZEUS SOLUTIONS INC

Houston, TX • On-site

Full-time

Posted 4 days ago

Job description

Location: Onsite – Houston
Employment Type: Full-Time
About the Role
We are seeking a highly skilled, hands-on Databricks Lead with 8+ years of experience in data engineering, including deep expertise in Azure Databricks, PySpark, and Structured Streaming. This role is ideal for a senior engineer with a programming-first mindset, a strong understanding of distributed systems, and the ability to build high-performance, cost-optimized data solutions.
This is not a traditional ETL role. It requires extensive knowledge of Spark internals, declarative pipeline development, and real-time data processing. The successful candidate will also provide technical leadership and collaborate closely with cross-functional teams to deliver robust, scalable data solutions.
Key Responsibilities
  • Lead the design and development of scalable, high-performance data pipelines, streaming tables, and Delta Live Tables (DLT) using Azure Databricks and PySpark
  • Drive Spark performance tuning and implement cost-optimization strategies within the Databricks environment
  • Build and manage real-time and batch workflows using Structured Streaming
  • Leverage Delta Live Tables (DLT) and Lakehouse Declarative Pipelines (LDP) to build scalable, reliable, and maintainable data pipelines
  • Collaborate with data architects, analysts, and business stakeholders to deliver robust data solutions
  • Provide technical leadership through mentorship, code reviews, and architectural guidance
  • Ensure system reliability and performance through proactive monitoring and engineering best practices
Must-Have Qualifications
  • 8+ years of hands-on experience in data engineering, big data development, or a related field
  • Extensive hands-on experience with Azure Databricks and PySpark
  • Strong programming background and in-depth knowledge of distributed data processing beyond traditional ETL tools
  • Proven expertise in: 
    • Spark performance tuning and optimization
    • Cost management within Databricks
    • Structured Streaming for real-time data processing
    • Lakehouse Declarative Pipelines (LDP) and Delta Live Tables (DLT)
  • Familiarity with the Azure data ecosystem, including ADLS, Azure Data Factory, and Synapse
  • Excellent communication skills and the ability to collaborate effectively with cross-functional teams
  • Willingness and ability to work onsite in Houston
Nice-to-Have Qualifications
  • Industry experience in energy, utilities, or heavy industry
  • Knowledge of data governance, security, and monitoring