Remote Azure Synapse Jobs in Massachusetts (NOW HIRING)

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