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Databricks Engineer Jobs in Massachusetts (NOW HIRING)

Transcend Softech LLC

Databricks Engineer

Boston, MA · On-site

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

Sr. Solutions Engineer - MFG

Boston, MA · On-site

$60 - $77.50/hr

Databricks is the data and AI company, and they are seeking a Sr. Solutions Engineer to help large enterprises become more data-driven. This role involves defining and directing the technical ...

Databricks

Sr. Solutions Engineer - MFG

Boston, MA · On-site

$152K - $209K/yr

You align technical strategies around Databricks solutions. * You work with your sales team and technical peers to drive business outcomes for our clients What we look for: * Proficiency at ...

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Databricks Engineer information

See Massachusetts salary details

$65K

$121.9K

$221.7K

How much do databricks engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for databricks engineer in Massachusetts is $121,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,900.00 and $144,700.00 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.
What are popular job titles related to Databricks Engineer jobs in Massachusetts? For Databricks Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Massachusetts look for? The top searched job categories for Databricks Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Databricks Engineer jobs? Cities in Massachusetts with the most Databricks Engineer job openings:
Databricks Engineer jobs near you

Databricks Engineer

Transcend Softech LLC

Boston, MA • On-site

Contractor

Posted 24 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.