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Senior Data Engineer

Job in Town of Boston, New York, USA
Listing for: Vantage Risk Ltd.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Security
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: Town of Boston

About the Company

Vantage Group Holdings Ltd. (Vantage) was established in late 2020 as a re/insurance partner designed for the future. Driven by relentless curiosity, our team of trusted experts provides a fresh perspective on our clients’ risks. We add creativity to tech-enabled efficiency and robust analytics to address risks others avoid. Vantage provides specialty re/insurance through its operating subsidiaries in Bermuda and the U.S.

Vantage has approximately 365 colleagues in both the United States and Bermuda. We have offices in Chicago, IL, Norwalk, CT, Arlington, VA, Boston, MA, New York, NY, Atlanta, GA and Hamilton, Bermuda. Additionally, we are a highly geographically diverse workforce with colleagues based in 35 states and counting. We fully support work flexibility including remote and hybrid work arrangements.

About the role:

We are seeking talented and intellectually curious data engineers with a passion for the “R” in R&D. You will be part of the Data, Analytics & Technology team reporting to the Data Engineering Lead.

The base salary expectation for this role is between $120,000 and $160,000. Actual base salary for the selected candidate may be higher commensurate with candidate experience and expectations. Additionally, Vantage offers its colleagues performance-based bonus potential, strong health & welfare benefits, retirement plans with company match, competitive time off plans, a highly flexible work environment, and much more.

Responsibilities & Accountabilities
  • Research and evaluate data sources to solve business problems and recommend optimal integration approaches.
  • Design and implement data pipelines supporting analytics and data science initiatives, including end-to-end ETL/ELT workflows.
  • Build robust, maintainable, and reusable data infrastructure following medallion architecture patterns (bronze/silver/gold layers).
  • Architect solutions for complex data challenges, including CDC pipelines, dimensional modeling, and master data management integration.
  • Collaborate with cross-functional stakeholders to identify, build, test, deploy, and monitor data assets and analytics solutions.
Ideal Candidate Profile
  • Bachelor’s Degree in Computer Science or related technical field or equivalent professional experience.
  • 5+ years building production data pipelines using enterprise data integration tools.
  • Expert-level SQL and relational database design (optimization, indexing, schema design).
  • Hands‑on experience with Medallion architecture and lakehouse platforms (Snowflake, Databricks, etc.).
  • Advanced proficiency in dbt (macros, materialization strategies, incremental models).
  • Mastery of Python for data engineering tasks.
  • Experience with version control (Git), CI/CD workflows, and infrastructure‑as‑code.
  • Proven ability to work with structured, semi‑structured, and unstructured data.
  • Strong code review and repository management skills.
  • Experience in high‑functioning Agile environments.
  • Growth mindset with ability to rapidly adopt new tools and domain knowledge.
Preferred Qualifications
  • Experience with Debezium or similar CDC tools.
  • Familiarity with Azure Event Hubs, Kafka, or streaming message brokers.
  • Experience with Snowflake Iceberg Catalog integration.
  • Property, geospatial, or image data processing experience.
  • Financial services or insurance domain knowledge.
Our Vantage Values
  • Do What’s Right – be a force for good, for our customers, shareholders, colleagues, industry and communities.
  • Be Relentlessly Curious – ask questions, listen to understand, challenge the status quo, look for ways to say YES, drive innovation, be opportunistic and disciplined.
  • We’re Better Together – collaborate, be inclusive, supportive, respectful and humble, be a trusted partner internally and externally.
  • Be Transparent – in who you are, what you think, and how you work, seek and provide alternative points of view, be true to yourself.
  • Make A Difference – focus on impact, embrace technology, leverage data and analytics as critical assets, act intentionally to deliver on our mission.

We value diversity and are committed to creating an inclusive environment for all employees. At Vantage, we strive to build and foster a culture where…

Position Requirements
10+ Years work experience
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