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Data Engineer Jobs in Worcester, MA (NOW HIRING)

As a Principal Data Engineer , you will be a senior technical contributor who partners closely with data, analytics, and product teams. You will bring deep technical expertise, operate with a high ...

As a Principal Data Engineer , you will be a senior technical contributor who partners closely with data, analytics, and product teams. You will bring deep technical expertise, operate with a high ...

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

Jr Data engineer

Woonsocket, RI ยท Hybrid

$109K - $131K/yr

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

JR DATA ENGINEER

Woonsocket, RI ยท Hybrid

$109K - $131K/yr

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

Jr Data engineer

Woonsocket, RI ยท Hybrid

$109K - $131K/yr

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

JR DATA ENGINEER

Woonsocket, RI ยท Hybrid

$109K - $131K/yr

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

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 ...

Senior Data Engineer

Wellesley, MA ยท On-site

$116K - $158K/yr

As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of ...

Lead Data Engineer

Smithfield, RI ยท On-site

$103 - $129/hr

Provide technical leadership across data engineering, integration, and modernization workstreams. * Conduct architecture reviews, solution assessments, and optimization initiatives. * Collaborate ...

Azure Data Engineer

Shrewsbury, MA ยท On-site

$70 - $90/hr

Implement version control and deployment processes using Azure DevOps and Git to support reproducible and reliable data workflows. * Integrate data from multiple sources including APIs, databases ...

Senior Data Engineer-PBM

Woonsocket, RI ยท On-site

$109K - $131K/yr

Job#: 3045975 Senior Data Engineer Location: Remote Position Summary: * Supports the creation and operation of Big Data AI/machine learning solutions, using complex healthcare data to produce ...

Cloud Data Engineer

Woonsocket, RI ยท 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 ...

Showing results 21-40

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 Sep 5, 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 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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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:

Infographic showing various Data Engineer job openings in Worcester, MA as of August 2026, with employment types broken down into 80% Full Time, 5% Temporary, and 15% Contract. Highlights an 80% In-person, 5% Hybrid, and 15% Remote job distribution, with an average salary of $129,434 per year, or $62.2 per hour.

Principal Data Engineer

Waters Corporation

Milford, MA โ€ข Hybrid

Full-time

Re-posted 4 days ago


Job description

Come help us transform Waters Corporation (NYSE: WAT) 

The Transformation team at Waters Corporation is driving the next phase of enterprise evolution. Our mission is to accelerate integration, execution, and value capture while transforming the capabilities that power our business. As part of our transformation journey, we are building the data foundations required for both integration and advancing technologies, including Agentic AI.  These capabilities support datadriven decisions across the enterprise, enabling better insights, improved processes, and more efficient operations. 

This is a unique opportunity to join a team at the center of Watersโ€™ transformation, working on highimpact initiatives that shape the future of our enterprise. As a Principal Data Engineer, you will be a senior technical contributor who partners closely with data, analytics, and product teams. You will bring deep technical expertise, operate with a high degree of independence, and contribute to the design and delivery of scalable data solutions while mentoring others and influencing best practices. 


The Principal Data Engineer designs, builds, and enhances robust data pipelines and platforms that support analytics, machine learning, and operational monitoring. This role is primarily handson, with opportunities to contribute to system design, code quality, and crossteam collaboration. You will be a key problem solver for complex data challenges and a trusted partner to both technical and business stakeholders. 

Key Responsibilities 

Data Engineering 

  • Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist structured and semistructured data, including large data frames and matrices.
  • Contribute to data platform and pipeline design for analytics, machine learning, and Agentic AI workloads, with a focus on performance, reliability, and maintainability. 
  • Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure data health and trust. 

Software Engineering 

  • Develop productiongrade Python code using strong OOP and functional programming practices. 
  • Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability. 
  • Participate actively in code reviews, automated testing, and source control workflows

Analytics & ML Enablement 

  • Partner with Data Scientists and Analysts to ensure data is modelready, reproducible, and well understood
  • Support analytical and machine learning workflows from raw data ingestion through downstream outputs and monitoring. 

Required Qualifications 

  • Bachelorโ€™s degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.
  • Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases. 
  • Proven experience building and operating endtoend data pipelines (ETL/ELT) in modern data environments. 
  • Solid understanding of source control, collaborative development workflows, and production support. 
  • Experience mentoring peers and contributing to technical best practices within a team environment. 
  • Strong communication skills and the ability to work effectively with both technical and nontechnical partners. 
  • Demonstrated drive, curiosity, humility, and ability to learn

NicetoHave / Plus Qualifications 

  • Familiarity with process mining platforms such as Celonis, including working with eventbased data and enabling transparency into endtoend business processes. 
  • Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial or service processes), with the ability to translate business processes into scalable data solutions.                                                                                         #LI-Hybrid 

Waters Corporation (NYSE:WAT)  is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.  

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.


#Data Engineer
#Python
#SQL