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Databricks Engineer Jobs in Massachusetts (NOW HIRING)

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 ...

CODAMETRIX

Principal Data Engineer

Boston, MA · On-site

$175 - $200/hr

As a Principal Data Engineer (L4), you will serve as a key technical leader for CodaMetrix's Databricks-based data platform, supporting streaming and batch workloads across 30+ healthcare customers.

TetraScience

Principal Cloud Engineer

Boston, MA · On-site

$60.50 - $81/hr

You will architect and build deployment pipelines to AWS and Databricks, and drive the engineering practices that determine how fast and safely we ship software. What You'll Own Infrastructure as ...

TetraScience

Principal Cloud Engineer

Boston, MA · On-site

$60.50 - $81/hr

You will architect and build deployment pipelines to AWS and Databricks, and drive the engineering practices that determine how fast and safely we ship software. What You'll Own Infrastructure as ...

TetraScience

Principal Cloud Engineer

Boston, MA · On-site

$60.50 - $81/hr

You will architect and build deployment pipelines to AWS and Databricks, and drive the engineering practices that determine how fast and safely we ship software. What You'll Own Infrastructure as ...

State Street Corporation

Senior SIEM Data Engineer

Quincy, MA · On-site

$109K - $150K/yr

Design and support Databricks data engineering patterns across raw, enriched, curated, and analytics-ready data layers. * Validate data quality across cyber data platforms for freshness, completeness ...

1872 Consulting

AI Engineer (Hybrid)

Boston, MA · Hybrid

$130K - $190K/yr

Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other ... Cross‐Cloud Engineering: Implement and maintain integrations across OpenAI, Azure OpenAI, and AWS ...

1872 Consulting

AI Engineer (Hybrid)

Boston, MA · Hybrid

$130K - $190K/yr

Integrate agents into Teams/SharePoint on the front end and Databricks Lakehouse or other ... Cross‐Cloud Engineering: Implement and maintain integrations across OpenAI, Azure OpenAI, and AWS ...

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Showing results 41-60

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 Aug 8, 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 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 architecture can earn higher compensation, often exceeding $160,000 per year.

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?

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.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
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
Infographic showing various Databricks Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $121,916 per year, or $58.6 per hour.

Cloud Data Engineer, AVP

State Street Corporation

Boston, MA • On-site

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

As a Cloud Data Engineer, AVP, you will design, develop and deliver scalable cloud data solutions using Databricks and AWS. You will collaborate with technology and business partners to modernize data platforms, develop reliable data, AI and machine learning pipelines, and help teams adopt secure, efficient, and cost-effective engineering practices.
Education and experience
  • Bachelor's degree in computer science, information systems, or a related field, or equivalent practical experience.
  • Five or more years of experience in data engineering, including hands-on work with cloud technologies.
  • AWS and/or Databricks certification is preferred but not required.

What you will be responsible for
  • Assess existing application and data infrastructure, identify improvement opportunities, and recommend cloud-based solutions that enhance performance, scalability, and reliability.
  • Define and document best practices for application deployment, cloud infrastructure, and production support.
  • Build reusable, efficient, and scalable data solutions, and develop cost-effective cloud migration strategies.
  • Design, develop, and optimize data engineering and machine learning pipelines in Databricks using AWS services such as Amazon S3, EC2, API services, RDS, Kinesis, Kafka, and Lambda.
  • Partner with IT teams and business stakeholders to migrate data engineering and machine learning applications to Databricks and AWS.
  • Manage competing priorities and deliver high-quality solutions within time-sensitive project schedules when needed.
  • Evaluate, learn, and support vendor products that contribute to the organization's data and cloud capabilities.
  • Quickly learn emerging technologies and develop proofs of concept to evaluate their value, feasibility, and potential for broader adoption.

What we value
  • Demonstrated decision-making, analytical, and problem-solving skills, with the ability to evaluate trade-offs and recommend practical solutions.
  • Strong understanding of Databricks architecture and hands-on experience with Databricks Data Engineering, Machine Learning, and SQL warehouses.
  • Strong programming experience in Scala, Python, and/or Java for data engineering workloads.
  • Strong knowledge of Medallion architecture, Delta Live Tables, and Unity Catalog within Databricks.
  • Knowledge of GenAI and Agentic AI is a plus.
  • Understanding of core AWS services, their use cases, and AWS architecture best practices.
  • Hands-on experience across relevant domains such as database architecture, business intelligence, machine learning, advanced analytics, and big data.
  • Strong knowledge of Apache Airflow for workflow orchestration.
  • Strong knowledge of CI/CD pipelines and deployment automation for AWS-based solutions.
  • Experience migrating relational databases, Java and Python applications, machine learning model code, and Elasticsearch-based solutions.
  • Experience with Docker and Kubernetes is preferred.
  • Curiosity and enthusiasm for learning new technologies, combined with a strong commitment to hands-on engineering.
  • Effective written and verbal communication skills, with the ability to explain technical concepts and collaborate with stakeholders and senior management.
  • Ability to perform data and system analysis, identify root causes, and translate findings into actionable recommendations.
  • Ability to adapt to changing priorities and work effectively in a collaborative, fast-paced environment.

Salary Range:
$90,000 - $157,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

Social media

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