Associate Data Engineer / Data Engineer II / Senior Data Engineer
For more than 170 years, The Hanover has been committed to delivering on our promises and being there when it matters the most. We live our values every day, demonstrating we CARE through our values, Sustainability initiatives and inclusive corporate culture.
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
CAREER DEVELOPMENT:
It’s not just a job, it’s a career, and we are here to support you every step of the way. We want you to be successful and fulfilled. Through on-the-job experiences, personalized coaching and our robust learning and development programs, we encourage you – at every level – to grow and develop.
BENEFITS:
We offer comprehensive benefits to help you be healthy, build financial security, and balance work