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Remote Python Data Analysis Jobs in Massachusetts

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Fraud Analyst

Boston, MA · Remote

$78K - $117K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Basic scripting or programming experience (Python preferred) for data analysis or task automation ... Remote

Manulife

Data Engineer

Boston, MA · Remote

$137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Discover hidden information using massive datasets and leveraging advanced data analytics and ... This position is eligible for fully remote work from any location in the United States. Minimum ...

Manulife

Data Engineer

Boston, MA · Remote

$167K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Discover hidden information using massive datasets and leveraging advanced data analytics and ... This position is eligible for fully remote work from any location in the United States. Minimum ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

Kemper

Data Scientist

Boston, MA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Documents modeling assumptions, methodology, code, and analytical results clearly and consistently ... Strong proficiency in Python, including experience with common data science libraries such as ...

Guidehealth

Data Scientist

Boston, MA · Remote

$105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and maintain SQL and Python code for replicable analyses and production data pipelines ... Guidehealth is a fully remote company, providing you the flexibility to spend less time commuting ...

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Data Engineer (Associate to Senior Level) - Remote

thg

Worcester, MA • On-site, Remote

$114K - $137K/yr

Full-time

Re-posted 18 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