Associate Data Engineer / Data Engineer II / Senior Data Engineer (REMOTE)
About The Position
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. 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.
Requirements
- 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
Nice To Haves
- Azure certifications (DP-203, DP-700)
- Databricks / Data Lake experience
- Power BI or analytics experience
- Insurance or claims data knowledge
Responsibilities
- 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)
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
