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Data Engineer Jobs in Worcester, MA (NOW HIRING)

CVS Health

Senior Data Engineer

Wellesley, MA · On-site

$92K - $222K/yr

Position Summary We are seeking a Senior Data Engineer with a proven track record in delivering scalable cloud-native data pipelines, microservices, and AI-driven workflow orchestration to enable ...

SS&C

Principal Data Engineer

Waltham, MA · Hybrid

Principal Data Engineer Locations: Waltham, MA - Hybrid About the Role We areseekinga highly skilled and hands-on Principal Data Engineer to lead the design, and development of scalable real-time ...

Waters Corporation

Senior Data Engineer (Celonis)

Milford, MA · Hybrid

$116K - $157K/yr

We are seeking a Senior Data Engineer (Celonis) to join our Innovation Excellence team and the broader Data Engineering community within the Center for Process Excellence. This role is responsible ...

Navtech, Inc.

Cloud Data Engineer

Woonsocket, RI · On-site +1

$53.50 - $71.50/hr

Cloud Data Engineer Work Location: Remote Duration: 12+ Months of Contract * Total IT exp of 5-12 years * 3+ years experience building and supporting large-scale, business-critical systems on Public ...

3B Staffing LLC

Mid Level Data Engineer

Woonsocket, RI · Hybrid

$109K - $131K/yr

Data Engineer Location: Woonsocket, RI 02895 - hybrid 1-2 days per week onsite DAY TO DAY: They will be working on migrating business users' SQL code and BI reports from our legacy Teradata and ...

Posted today

3B Staffing LLC

Mid Level Data Engineer

Woonsocket, RI · Hybrid

$109K - $131K/yr

Data Engineer Location: Woonsocket, RI 02895 - hybrid 1-2 days per week onsite DAY TO DAY: They will be working on migrating business users' SQL code and BI reports from our legacy Teradata and ...

Posted today

Ascensus, LLC.

Senior Data Engineer

Newton, MA · On-site

$120/hr

Section 1: Position Summary As a Senior Data Engineer at Ascensus, you will enable data-driven decision making by collecting, transforming and visualizing the data. You will design, build, maintain ...

ASCENSUS

Senior Data Engineer

Newton, MA · On-site

$120/hr

Section 1: Position Summary As a Senior Data Engineer at Ascensus, you will enable data-driven decision making by collecting, transforming and visualizing the data. You will design, build, maintain ...

Apex Systems

Production Support Data Engineer

Woonsocket, RI · On-site

$40.25 - $52.50/hr

Job#: 3043552 Production Support Data Engineer Location: REMOTE in PST Role Overview We are seeking a Production Support Data Engineer to join our team. This role focuses on ensuring the stability ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Worcester, MA

Data Engineer information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer in Worcester, MA is $129,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Worcester, MA? The most popular types of Data Engineer jobs in Worcester, MA are:
What are popular job titles related to Data Engineer jobs in Worcester, MA? For Data Engineer jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Worcester, MA look for? The top searched job categories for Data Engineer jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Data Engineer jobs? Cities near Worcester, MA with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Worcester, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,434 per year, or $62.2 per hour.

Data Engineer (Associate to Senior Level) - Remote

thg

Worcester, MA • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 12 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