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Remote Startup Data Engineer Jobs in Worcester, MA

Cloud Data Engineer

Woonsocket, RI ยท On-site +1

$53.50 - $71.50/hr

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 Cloud (Azure/AWS/Google Cloud ...

Analytics Engineer

Waltham, MA ยท On-site +1

$84K - $101K/yr

Collaborate with data analysts, data scientists, data engineers and other stakeholders to ... Our hybrid work model combines the convenience of remote work with access to our great office ...

Data Product Manager

Marlborough, MA ยท Remote

$50 - $65/hr

Remote (Preference for candidates local to Marlborough, MA) Start Date Is: ASAP Duration: 6-month ... Partner with data engineering and data science teams to deliver scalable data solutions.

Senior Data Protection Engineer (REMOTE)

Worcester, MA ยท Remote

$114K - $156K/yr

We are seeking a highly skilled Senior Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote capacity. POSITION SUMMARY: In this role, you will provide subject ...

Senior Data Protection Engineer (REMOTE)

Worcester, MA ยท Remote

$114K - $156K/yr

We are seeking a highly skilled Senior Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote capacity. POSITION SUMMARY: In this role, you will provide subject ...

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Showing results 1-20

Remote Startup Data Engineer information

See Worcester, MA salary details

$44.4K

$129.4K

$177.1K

How much do remote startup data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote startup 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 Remote Startup Data Engineer vs Remote Startup Data Analyst?

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

What are popular job titles related to Remote Startup Data Engineer jobs in Worcester, MA?

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

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

The top searched job categories for Remote Startup Data Engineer jobs in Worcester, MA are:

What cities near Worcester, MA are hiring for Remote Startup Data Engineer jobs?

Cities near Worcester, MA with the most Remote Startup Data Engineer job openings:

Data Engineer (Associate to Senior Level) - Remote

thg

Worcester, MA โ€ข On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 23 days ago


Job description

Our Enterprise Data & Analytics, Claims Analytics, and Technology teams are growingโ€”and weโ€™re looking for Data Engineers at multiple levels to help power the future of data at The Hanover.ย 

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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. Youโ€™ll work hands-on with modern data platforms and collaborate with cross-functional partners to transform complex data into actionable insights.

Whether youโ€™re early in your career building foundational skills or an experienced engineer leading enterprise-scale initiatives, youโ€™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.ย  ย 
POSITIONS SUMMARY:

Depending on your level, youโ€™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:ย 

  • 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 (0โ€“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

ย 

WHAT YOU NEED TO APPLY:

ย 

  • 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:

ย 

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