ZipRecruiter

Log In

1

Databricks 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 ...

Databricks

Enterprise Account Executive - CMEG

Boston, MA · On-site

$272K - $374K/yr

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover ...

New

next page

Showing results 1-20

All JobsDatabricks JobsDatabricks Jobs in Massachusetts

Databricks information

See Massachusetts salary details

$25.7K

$41.2K

$55.7K

How much do databricks jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks in Massachusetts is $41,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,600.00 and $45,300.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Massachusetts?

The most popular types of Databricks jobs in Massachusetts are:

What are popular job titles related to Databricks jobs in Massachusetts?

For Databricks jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Massachusetts look for?

The top searched job categories for Databricks jobs in Massachusetts are:

What cities in Massachusetts are hiring for Databricks jobs?

Cities in Massachusetts with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Massachusetts as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $41,188 per year, or $19.8 per hour.

Databricks Engineer

Transcend Softech LLC

Boston, MA • On-site

Contractor

Re-posted 26 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.