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 and home life. At The Hanover, you'll enjoy what you do and have the support you need to succeed.

Benefits include:

• 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)
• Click here for the full list of Benefits

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 (which could take the form of a general bonus, sales incentive, or short-term incentive), long-term incentive or spot recognition awards. The posted range reflects our ability to hire at different position titles and levels depending on background and experience.