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Senior Databricks Data Engineer Jobs in Cambridge, MA

Sr Databricks Data Engineer

Boston, MA ยท On-site

$124K - $149K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Senior SIEM Data Engineer

Quincy, MA ยท On-site

$109K - $150K/yr

As a senior engineer, you will also help define onboarding standards, mentor engineers, drive ... Design and support Databricks data engineering patterns across raw, enriched, curated, and ...

Data Engineer - Senior Associate

Boston, MA ยท On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Data Engineer - Senior Manager

Boston, MA ยท On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Data Engineer

Wakefield, MA ยท On-site

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

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IT Data Engineer - BB4352

Cambridge, MA ยท On-site

$70 - $95/hr

We are seeking a highly skilled IT Data Engineer with expertise in Databricks , Seqera Platform (Nextflow Tower) , cloud data engineering, and scientific data workflows to support our Discovery R&D ...

New

Data Engineer

Wakefield, MA ยท On-site

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Data Engineer

Wakefield, MA ยท On-site

$120K - $145K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Senior Data Engineer

Boston, MA ยท On-site

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Hands-on expertise with PySpark and Databricks notebooks, including Delta Lake workflows;

Senior Data Engineer

Boston, MA ยท On-site

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;

Senior Data Engineer

Boston, MA ยท On-site

$115K - $156K/yr

As a Senior Data Engineer, CASM Platform, you will: * Data Integration, API Development: Integrate ... Utilize Python, PySpark, and Databricks to automate and standardize data workflows across stages ...

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Showing results 1-20

Senior Databricks Data Engineer information

See Cambridge, MA salary details

$65K

$138.3K

$200.6K

How much do senior databricks data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior databricks data engineer in Cambridge, MA is $138,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $156,800.00 per year, depending on experience, location, and employer.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
What are the most commonly searched types of Databricks Data Engineer jobs in Cambridge, MA? The most popular types of Databricks Data Engineer jobs in Cambridge, MA are:
What are popular job titles related to Senior Databricks Data Engineer jobs in Cambridge, MA? For Senior Databricks Data Engineer jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Senior Databricks Data Engineer jobs in Cambridge, MA look for? The top searched job categories for Senior Databricks Data Engineer jobs in Cambridge, MA are:

Sr. Databricks Data Engineer, Onsite, AVP

State Street Global Advisors

Quincy, MA โ€ข Hybrid

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 hours ago


Job description

Who we are looking for

We are looking for a Sr. Databricks Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services

What you will be responsible for

As Sr. Databricks Data Engineer you will

  • Design & develop custom high throughput and configurable data pipelines using DataBricks.

  • Ability to drive change through collaboration, influence and demonstration of POCs

  • Design, build and test end to end data ingestion pipelines (streaming, events, and batch), data integration, data curation.

  • Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark.

  • Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies

  • Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance

  • Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation

What we value

These skills will help you succeed in this role

  • Strong hands-on on Databricks SQL & Scala/PySpark - Data engineering pipeline.

  • Strong hand-on experience in troubleshooting DevOps pipelines and Azure services

  • Expertise on end-to-end data solutioning for building Data Lakehouse using Databricks.

  • Experience with Micro Services - API/Event Driven Architecture/Development

  • Strong hands-on experience in troubleshooting DevOps pipelines and Azure services

  • Strong critical thinking, communication, and problem-solving skills.

Education & Preferred Qualifications

  • Bachelor's Degree level qualification in a computer or IT related subject.

  • 7+ years of overall IT experience.

  • 5+ years of Data Engineering experience handling large datasets.

  • 3+ years of Databricks hands-on experience using SQL & Scala/PySpark.

  • 3+ years of experience on cloud-based development using Azure/AWS.

Additional requirements

  • Communicate effectively in a professional manner both written and orally

  • Team player with a positive attitude, enthusiasm, initiative and self-motivation

  • Experience of working in the financial industry

  • Experience in collaborating with team members, users and stakeholders across geographical locations.

  • Ability to multi-task, meet aggressive timelines and have strong work ethics

  • Experience with agile development methodology

Work Requirement

  • Onsite 4 days a week in office and one day remote

  • Standard business hours aligned to project and stakeholder needs(8am to 5pm)

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

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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.