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Senior Databricks Data Engineer Jobs in Worcester, MA

Waters Corporation

Sr. Data Engineer

Milford, MA · On-site

$125K - $150K/yr

As a Sr Data Engineer, you will be responsible for implementing AI, process automation, data ... Databricks) * Develop and implement data quality and governance processes to ensure data accuracy ...

Waters Corporation

Sr. Data Engineer

Milford, MA · On-site

$125K - $150K/yr

As a Sr Data Engineer, you will be responsible for implementing AI, process automation, data ... Databricks) * Develop and implement data quality and governance processes to ensure data accuracy ...

Waters Corporation

Sr. Data Engineer

Milford, MA

$125K - $150K/yr

As a Sr Data Engineer, you will be responsible for implementing AI, process automation, data ... Databricks) * Develop and implement data quality and governance processes to ensure data accuracy ...

Ventois Inc.

Azure Data Engineer

Shrewsbury, MA · On-site

$70 - $90/hr

... Databricks. * Develop and maintain data models and analytical datasets to support reporting ... Implement version control and deployment processes using Azure DevOps and Git to support ...

National Grid

Senior Data Engineer

Waltham, MA · On-site

$133K - $156K/yr

About the Role We are seeking a Senior Data Engineer to join National Grid's Finance data and reporting office team (FDRO). The FDRO is responsible for financial data and financial reporting across ...

National Grid

Senior Data Engineer

Waltham, MA · Hybrid

$133K - $156K/yr

About the Role We are seeking a Senior Data Engineer to join National Grid's Finance data and reporting office team (FDRO). The FDRO is responsible for financial data and financial reporting across ...

aPriori Technologies Inc

Senior Data Engineer

Concord, MA · On-site

$116K - $157K/yr

We are looking for an experienced Data Engineer to join aPriori's growing Data Platform Team ... the Senior Leadership team to grow into impactful individual contributor roles or to effectively ...

Xometry

Staff Data Engineer

Waltham, MA · On-site

This is a senior individual contributor role with broad technical scope and high organizational ... You will be the data engineering lead for the digital thread that connects Xometry's platform to ...

Xometry

Staff Data Engineer

Waltham, MA · On-site

This is a senior individual contributor role with broad technical scope and high organizational ... You will be the data engineering lead for the digital thread that connects Xometry's platform to ...

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All JobsDatabricks Data Engineer JobsSenior Databricks Data Engineer JobsSenior Databricks Data Engineer Jobs in Worcester, MA

Senior Databricks Data Engineer information

See Worcester, MA salary details

$59.4K

$126.3K

$183.1K

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

As of Aug 26, 2026, the average yearly pay for senior databricks data engineer in Worcester, MA is $126,281.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,300.00 and $143,200.00 per year, depending on experience, location, and employer.

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.

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.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Worcester, MA?

The most popular types of Databricks Data Engineer jobs in Worcester, MA are:

What are popular job titles related to Senior Databricks Data Engineer jobs in Worcester, MA?

For Senior Databricks Data Engineer jobs in Worcester, MA, the most frequently searched job titles are:

What job categories do people searching Senior Databricks Data Engineer jobs in Worcester, MA look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Worcester, MA are:

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Cities near Worcester, MA with the most Senior Databricks Data Engineer job openings:

Senior Databricks Data Engineer jobs near you

Data Engineer (Associate to Senior Level) - Remote

thg

Worcester, MA • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 26 days ago

Job description

Our Enterprise Data & Analytics, Claims Analytics, and Technology teams are growing—and we’re looking for Data Engineers at multiple levels to help power the future of data at The Hanover. 

 

POSITIONS OVERVIEW:

In these roles, you will play a key part in designing and delivering scalable, secure, and high-performing data solutions that enable analytics, reporting, and strategic decision-making across the organization. You’ll work hands-on with modern data platforms and collaborate with cross-functional partners to transform complex data into actionable insights.

Whether you’re early in your career building foundational skills or an experienced engineer leading enterprise-scale initiatives, you’ll contribute to a data-driven culture by developing reliable pipelines, advancing data quality and governance, and continuously improving our cloud-based data ecosystem.

These are full-time, exempt roles.   
POSITIONS SUMMARY:

Depending on your level, you’ll:

  • Design, build, and optimize data pipelines and ETL workflows
  • Develop scalable data models, data structures, and data integrations
  • Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks
  • Ensure data quality, governance, security, and compliance
  • Partner with business stakeholders, analysts, and data scientists
  • Contribute to or lead complex, cross-functional data initiatives
  • Improve platform reliability through monitoring, validation, and automation
  • Create clear documentation, runbooks, and data lineage
  • Mentor junior engineers (Senior-level roles)

Technology Stack includes: 

  • Azure Data Services (Synapse, Data Factory, ADLS)
  • Databricks, Delta Tables, Spark / PySpark
  • SQL / T-SQL, Python (plus Java/Scala in some teams)
  • Power BI and analytics tools
  • CI/CD via GitHub / Azure DevOps

Associate Data Engineer (0–2 years)

  • Build foundational skills in ETL, cloud data platforms, and data architecture
  • Work alongside experienced engineers to deliver scalable solutions
  • Ideal for candidates with strong SQL/Python fundamentals and a passion for learning

Data Engineer II (up to 5+ years)

  • Own development of pipelines, models, and datasets
  • Drive improvements in data quality, governance, and performance
  • Work independently across multiple projects with business impact

Senior Data Engineer (5+ years)

  • Lead complex data initiatives and architectural decisions
  • Design enterprise-scale data solutions in Azure
  • Mentor engineers and help establish best practices
  • Drive innovation in reliability, scalability, and cost efficiency

 

WHAT YOU NEED TO APPLY:

 

  • Degree in Data Science, Computer Science, or a related field
  • Must be eligible to work in the US without requiring any sponsorship, now or in the future (Law Permanent Residence or US Citizen
  • Experience with data engineering, ETL/ELT, and data modeling
  • Proficiency in SQL and Python (advanced at senior levels)
  • Strong problem-solving, communication, and collaboration skills
  • Experience with cloud data platforms (Azure preferred)
  • Passion for building high-quality, reliable data solutions

BONUS POINTS FOR:

 

  • Azure certifications (DP-203, DP-700)
  • Databricks / Data Lake experience
  • Power BI or analytics experience
  • Insurance or claims data knowledge

Apply