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Databricks Engineer Jobs in Boston, MA (NOW HIRING)

Deloitte

Databricks Manager

Boston, MA

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience with ...

Prophecy Technologies

AWS Databricks Data Engineer

Quincy, MA · Hybrid

$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 ...

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 ...

Cedent Life Talent

Senior Data Engineer

Boston, MA · On-site

$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 ...

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 · On-site

$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 ...

Syntricate Technologies

Data Engineer

Quincy, MA

$120K - $144K/yr

Job tittle - Data Engineer Duration: Full-time Location - Quincy, MA (Onsite) Data Engineer for databricks/ Hadoop/ scala Hadoop, Databricks, Scala Senior/Lead developer position who has extensive ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Boston, MA

Databricks Engineer information

See Boston, MA salary details

$64.6K

$121.3K

$220.5K

How much do databricks engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for databricks engineer in Boston, MA is $121,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $143,900.00 per year, depending on experience, location, and employer.

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

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 Boston, MA? For Databricks Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Boston, MA look for? The top searched job categories for Databricks Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Databricks Engineer jobs? Cities near Boston, MA with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Boston, MA as of May 2026, with employment types broken down into 100% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $121,277 per year, or $58.3 per hour.
Resident Solutions Architect - Financial Services

Resident Solutions Architect - Financial Services

Databricks

Boston, MA • On-site

$180K - $248K/yr

Full-time

Posted 28 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

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$180,656-$248,360 USD
Zone 2 Pay Range
$180,656-$248,360 USD
Zone 3 Pay Range
$180,656-$248,360 USD
Zone 4 Pay Range
$180,656-$248,360 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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