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