• Co-define and evolve the data platform roadmap in collaboration with architecture and engineering teams • Translate technical and business requirements into epics, user stories, and technical backlog items • Work closely with Data Engineers and Architects on: data models and architectures (batch/streaming) data pipelines and ingestion frameworks storage (e.g. data lake / data warehouse) and processing layers • Support design and implementation of platform components for: machine learning workflows (MLOps, feature stores, model lifecycle) data observability, lineage, and quality monitoring • Ensure datasets are reliable, well-structured, and ready for analytics and ML use cases • Participate in technical discussions and architecture decisions (not just coordination) • Drive delivery in an agile setup (planning, backlog refinement, prioritisation) • Communicate technical concepts in a clear way to non-technical stakeholders

Role Description This role will primarily become proficient with all internal & external data produced and consumed by Hanover’s Core Commercial and Specialty businesses. This role will drive complex projects independently as well as under the mentorship of experienced engineers. The Associate Data Engineer will collaborate with business partners and cross-functional teams on data and reporting requests. The assignments will become broader in nature, usually requiring originality and ingenuity. This role will be accountable for successful outcomes related to designing, developing, implementing, optimizing, and maintaining data integrations, pipelines and solutions. IN THIS ROLE, YOU WILL: - Complete data integration and build scalable ETL pipelines - Learn data engineering best practices for data storage, integration, transformation, and access within cloud and on-premises platforms - Gain a strong understanding of Medallion Architecture and Data Lake best practices - 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 - Collaborate with data scientists, analysts, and stakeholders - Work within agile development methodologies - Occasional Power BI report creation for data delivery - Utilize best practices for CI/CD Qualifications - Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or other related fields - 0-2 years professional experience in data engineering, data architecture, and/or data analytics - Beginner proficiency in SQL and Python - 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 (i.e. US Citizen or green card holder) Requirements - Some experience working with Azure, AWS, GCP, or other cloud - CI/CD experience with ADO or Github - Azure Synapse Analytics and/or Microsoft Fabric experience - PowerBI experience - Insurance industry experience 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)

Conduct policy research to develop recommendations for improving public health data collection and analysis. Monitor federal and state initiatives, and draft communications to support stakeholder engagement and project objectives.

Role Description As a Data Engineer, you play a vital role in our commitment to data-driven decision-making. Your responsibilities involve designing and implementing projects that consolidate data from various sources, facilitating analysis and informed decision-making. Your primary focus is ensuring that data is easily accessible and user-friendly, allowing for both routine and ad-hoc analysis. - Collaborate with colleagues and clients to provide the necessary tools for routine and non-routine data analysis. - Accelerate all efforts through leveraging AI. - Translate business requirements into technical solutions, drawing on your strong business acumen. - Analyze current business practices, processes, and procedures to identify future opportunities. - Assess client needs to create customized data design services. - Offer exceptional support to our business partners. - Develop the foundational components for evolving enterprise data solutions. - Architect and construct modern data pipelines. - Implement effective metrics and monitoring systems. - Make independent decisions and provide guidance to your peers. - Create and promote technical best practices for modeling and report design. - Perform any other related duties as required or assigned. Company Description Are you ready to open a world of opportunity in talent mobility? Our clients include some of the largest and most recognized brands in the world. They’re innovators and leaders in their industries, making life-enhancing breakthroughs every day. We help them tap into those opportunities by placing their exceptional people where they need to be, anywhere in the world. When it comes to service, we set the bar for exceptional … and then we raise it with fresh ideas, leading tools and innovative approaches, and it’s all grounded in our values of truth, love, and integrity. We call it People-first Mobility. We’re looking for exceptional people who share those values along with our passion for delivering the highest levels of service. If that sounds like you, and if you’re ready for a new career opportunity, we’d like to hear from you! Here’s to the world ahead.