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Databricks Engineer Jobs in Massachusetts (NOW HIRING)

Prophecy Technologies

AWS Databricks Data Engineer

Quincy, MA · On-site

$120K - $144K/yr

As a Data Engineer, you will leverage your expertise in large-scale data processing and analytics ... Databricks, MemGraph/Neo4J. * Familiarity with modern security tooling like Splunk, Panther ...

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job Summary: We're looking for a ... Design, build, and maintain batch/streaming pipelines in Python + PySpark on Databricks (Delta Lake ...

CEDENT

Senior Data Engineer

Boston, MA

$115K - $156K/yr

Utilize Python, PySpark, and Databricks to automate and standardize data workflows across stages ... Engineering Continuous Delivery: Collaborate with advanced Agile Product; Engineering cross ...

GEI Consultants

AI Engineer

Wakefield, MA · On-site

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

GEI Consultants

AI Engineer

Wakefield, MA

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

GEI Consultants

AI Engineer

Wakefield, MA · On-site

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

Cedent

Senior Data Engineer (Boston, MA)

Boston, MA · On-site

$124K - $149K/yr

Utilize Python, PySpark, and Databricks to automate and standardize data workflows across stages ... Engineering Continuous Delivery: Collaborate with advanced Agile Product; Engineering cross ...

CEDENT

Senior Data Engineer (Boston, MA)

Boston, MA

$124K - $149K/yr

Utilize Python, PySpark, and Databricks to automate and standardize data workflows across stages ... Engineering Continuous Delivery: Collaborate with advanced Agile Product; Engineering cross ...

Advisor360°

Data Platform Engineer II

Needham, MA · On-site

$124K - $149K/yr

They are seeking a Data Platform Engineer II to join their DevOps team, focusing on building high ... Postgres, ADF, Databricks) • Configure secure networking with Private Endpoints and VNET ...

Digitas

Senior Software Engineer

Wakefield, MA · On-site

$129K - $170K/yr

Senior Software Engineer The Product team forms the crux of our powerful platforms and connects ... Deliver large-scale cloud-native data platforms primarily on AWS using Databricks and distributed ...

Advisor360°

Data Platform Engineer II

Needham, MA · On-site

$124K - $149K/yr

They are seeking a Data Platform Engineer II to help build high-performance data architecture ... Postgres, ADF, Databricks) • Configure secure networking with Private Endpoints and VNET ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Massachusetts

Databricks Engineer information

See Massachusetts salary details

$65K

$121.9K

$221.7K

How much do databricks engineer jobs pay per year?

As of Jun 11, 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer 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 company size and industry demand.

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 career choice with good job prospects.

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.

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
Resident Solutions Architect - Financial Services

Resident Solutions Architect - Financial Services

Databricks

Boston, MA • On-site

$68.50 - $90.25/hr

Other

Posted 2 days ago

Job description

CSQ227R87

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

  • You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

  • 9+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python or Scala
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Apache Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps
  • Capable of design and deployment of highly performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Experience in building scalable streaming and batch solutions using cloud-native components
  • Travel to customers up to 20% of the time
  • Nice to have: Databricks Certification

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