Senior Data Engineer (REMOTE OR MA BASED)
About The Position
The Hanover is seeking a Senior Data Engineer to join their growing team. This role can be based in their Worcester, MA office or be a remote work arrangement. This is a full-time, exempt position. The primary focus of this role will be to become proficient with all internal and external data produced and consumed by Hanover’s Core Commercial and Specialty businesses. The Senior Data Engineer will drive larger complex projects independently, mentor less experienced engineers, and collaborate with business partners and cross-functional teams on data and reporting requests. Assignments will be broader in nature, typically requiring originality and ingenuity. This role is accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data integrations, pipelines, and solutions.
Requirements
- Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent
- 5 plus years professional experience in data engineering, data architecture, and/or data integration
- Advanced proficiency in SQL and Python
- Experience working with Azure, AWS, GCP, or other cloud
- Strong problem-solving, communication, and collaboration skills
- Critical thinking and attention to detail
- Must be eligible to work in the United States without requiring sponsorship now or in the future (ie. US Citizen or green card holder)
Nice To Haves
- Microsoft DP-203 or DP-700 certification
- Experience in optimizing data pipelines for scale, performance, reliability, and cost efficiency
- PowerBI experience
- Azure DevOps experience
- Azure Synapse Analytics and/or Microsoft Fabric experience
- Masters in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent
- Actuarial or pricing experience within insurance industry
Responsibilities
- Complete data integration, data warehouse design, and build scalable ETL pipelines
- Display data engineering best practices for data storage, integration, transformation, and access within cloud and on-premises platforms
- Ensure data security and compliance within industry standards
- Develop and maintain documentation for data integration and ETL solutions
- Build solutions within Azure Data Services (Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage)
- Create solutions using pySpark/SparkSQL, and Delta Tables
- Create documentation for data processes
- Collaborate with data scientists, analysts, and stakeholders
- Coach, mentor, and serve as technical guidance for junior team members
- Work within agile development methodologies and use DevOps best practices
Benefits
- Medical, dental, vision, life, and disability insurance
- 401K with a company match
- Tuition reimbursement
- PTO
- Company paid holidays
- Flexible work arrangements
- Cultural Awareness Day in support of IDE
- On-site medical/wellness center (Worcester only)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
