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Senior Data Engineer Jobs in Woonsocket, RI (NOW HIRING)

Daymark Health

Senior Data Engineer

Boston, MA

$115K - $156K/yr

WHAT YOU\'LL DO At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data ...

Cedent

Senior Data Engineer (Boston, MA)

Boston, MA · On-site

$124K - $149K/yr

As a Senior Data Engineer, CASM Platform, you will: * Data Integration, API Development: Integrate diverse cybersecurity data sources using variety of API mechanisms and to standardize and streamline ...

CEDENT

Senior Data Engineer (Boston, MA)

Boston, MA · On-site

$124K - $149K/yr

As a Senior Data Engineer, CASM Platform, you will: Data Integration, API Development: Integrate diverse cybersecurity data sources using variety of API mechanisms and to standardize and streamline ...

RevSpring, Inc.

Senior Data Engineer - Analytics

Boston, MA · On-site

$115K - $156K/yr

Senior Data Engineer - Analytics Essential Functions: * Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data ...

RevSpring Inc

Senior Data Engineer - Analytics

Boston, MA · On-site

$115K - $156K/yr

Senior Data Engineer - Analytics Essential Functions: * Collaborate with other internal teams to design data pipelines to ingest information from various systems to our BigQuery or Redshift data ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Woonsocket, RI

Senior Data Engineer information

See Woonsocket, RI salary details

$77.6K

$121.1K

$167.7K

How much do senior data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data engineer in Woonsocket, RI is $121,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $138,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Woonsocket, RI? The most popular types of Data Engineer jobs in Woonsocket, RI are:
What are popular job titles related to Senior Data Engineer jobs in Woonsocket, RI? For Senior Data Engineer jobs in Woonsocket, RI, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Woonsocket, RI look for? The top searched job categories for Senior Data Engineer jobs in Woonsocket, RI are:
What cities near Woonsocket, RI are hiring for Senior Data Engineer jobs? Cities near Woonsocket, RI with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Woonsocket, RI as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $121,051 per year, or $58.2 per hour.

Data Engineer (Associate to Senior Level) - Remote

thg

Worcester, MA • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 11 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