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Databricks Engineer Jobs (NOW HIRING)

Databricks Engineer Location: Boston, MA Long Term Contract * Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline design * Overall experience 7 to 8 years in Scala-Spark ...

Databricks Engineer Location: Holmdel, NJ (Onsite) 10+ Years of IT experience, with 7+ years of experience as an ETL/ELT developer/data engineer. 3+ years of Databricks data engineering experience ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

ABSOLUTE MUST-HAVES (Please do not submit candidates without these): • 5-8 years of hands-on Databricks engineering experience (not light exposure) • Strong, recent Delta Live Tables (DLT ...

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East Adelphi, MD 20783 Period of Performance: 1 year 40 hours per week (no overtime). Position Summary: The ...

As a databricks engineer, you will help design, build, and support data management solutions that enable reliable, scalable, and secure use of data across business and technology functions. In this ...

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Databricks Engineer information

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$59.5K

$111.6K

$203K

How much do databricks engineer jobs pay per year?

As of Jul 9, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

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 engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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, and why are they important?

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.
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:

Databricks Engineer

Transcend Softech LLC

Boston, MA • On-site

Contractor

Re-posted 19 days ago


Job description

Position: Databricks Engineer

Location: Boston, MA

Long Term Contract

  • Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline design
  • Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline design
  • Experience in databricks.
  • Hands on experience in Design and development of Ingestion pipeline, ETL pipeline and jobs in Databricks.
  • Databricks workspace and cluster configuration and Job scheduling and workflow management
  • Hands on experience in Scala-Spark Development.