Senior Data Engineer (REMOTE OR HYBRID MA)

Position Overview Data engineering focuses on practical applications of data collection and analysis. This Senior Data Engineer will develop, implement, optimize, and maintain data integrations, pipelines, and solutions. The role leads larger projects, mentors junior engineers, and collaborates with business partners on cross‑functional teams. Responsibilities Proven experience in data engineering and best practices for data storage, integration, transformation, and access within Azure and on‑premises platforms. Proven expertise in designing and implementing data solutions utilizing Azure Resources (Azure Data Factory, Azure Synapse, ADLS, etc). Strong experience with data integration, ETL processes, and data warehousing. Advanced proficiency in SQL, Python, and PowerShell. Proven knowledge of data modeling, governance, and data engineering best practices and patterns. Hands‑on experience with optimizing data ingestion pipelines and notebooks for scale, performance, reliability, and cost efficiency. Familiarity with integration connectors (APIs, File, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST). Strong problem‑solving, communication, and collaboration skills. Ability to create documentation for data processes and solutions. Ensure data security and compliance with industry standards. Experienced in agile development methodologies and DevOps best practices. Git/GitHub experience for CI/CD. Coaching, mentoring, and technical guidance for junior team members. Analytical skills for profiling and analyzing large data sets. Critical thinking and attention to detail. Debugging skills for data solution issues. Collaborate with data scientists, analysts, and stakeholders. Monitor and maintain data pipelines. Design, develop, and test data mapping with transformation rules. Ensure data quality and reliability. Develop and maintain documentation for data integration and ETL solutions. Qualifications Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent. 5+ years professional experience in data engineering, data architecture, data integration. Must be eligible to work in the United States without requiring sponsorship now or in the future (i.e., U.S. Citizen or green card holder). Preferred Microsoft DP-203 or DP-700 certification. Microsoft Fabric experience. Power BI experience. Master’s degree in data science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent. Benefits Medical, dental, vision, life, and disability insurance 401(k) with company match Tuition reimbursementPTO Company paid holidays Flexible work arrangements Cultural Awareness Day in support of IDEA On‑site medical/wellness center (Worcester only) Compensation The target hiring range for this role may vary based on geographic location and other factors, including merit or performance, demonstrated proficiency, skills for the role, education, travel requirements, and experience. Additional compensation may include an annual bonus, long‑term incentive or spot recognition awards. Equal‑Opportunity Employer The Hanover values diversity in the workplace and among our customers. The company provides equal opportunity for employment and promotion to all qualified employees and applicants on the basis of experience, training, education, and ability to do the available work without regard to race, religion, color, age, sex/gender, sexual orientation, national origin, gender identity, disability, marital status, veteran status, genetic information, ancestry or any other status protected by law. Furthermore, The Hanover Insurance Group is committed to providing an equal opportunity workplace that is free of discrimination and harassment based on national origin, race, color, religion, gender, ancestry, age, sexual orientation, gender identity, disability, marital status, veteran status, genetic information or any other status protected by law. #J-18808-Ljbffr