AVP, Data Engineer

Vantage Risk Companies•Washington, DC

3d•$175,000 - $210,000•Hybrid

About The Position

The AVP, Data Engineer is primarily responsible for ingesting and transforming replicated source data into data products that are easily consumed by the Reporting team and other downstream users. The role requires expertise in data modeling and data pipeline development within an analytical, column-oriented data warehouse. It reports to the VP, Data Engineering & ETL Lead and is a hybrid opportunity for a candidate within commuting distance of a Vantage office, preferably in New York or Chicago. Vantage Group Holdings Ltd. is a specialty re/insurance company established in 2020, with approximately 365 colleagues in the United States and Bermuda. The company supports remote and hybrid work arrangements. The base salary expectation for this role is $175,000 to $210,000, with performance-based bonus potential, health and welfare benefits, retirement plans with company match, competitive time-off plans, and a flexible work environment.

Requirements

Bachelor's degree in Computer Science or an equivalent combination of education and professional experience.
At least 8 years of data engineering experience designing, building, and supporting enterprise data platforms, ingestion frameworks, and transformation pipelines.
Strong expertise in SQL, Python, and dbt, including developing and optimizing large-scale ETL/ELT solutions.
Hands-on experience with Dagster, Airflow, or similar workflow orchestration tools.
Experience building and managing ingestion and replication pipelines from relational databases such as PostgreSQL and Oracle, NoSQL sources, and file-based data feeds into Snowflake, Databricks, or comparable modern data platforms.
Deep understanding of data modeling, including dimensional modeling, Medallion Architecture, Data Vault, and highly relational data structures.
Experience transforming complex business data into trusted, consumable datasets for reporting, analytics, and downstream business users.
Strong knowledge of data engineering best practices, including testing, code reviews, Git version control, and CI/CD processes.
Familiarity with distributed data processing technologies, Kubernetes, and modern cloud-based data ecosystems.
Ability to mentor junior engineers, conduct code reviews, and drive technical best practices across a team.
Demonstrated success in a player-coach capacity, balancing hands-on development with technical leadership and team guidance.
Ability to adapt to change in a rapid-growth company environment; Vantage associates are expected to be curious, thrifty, and resourceful.

Nice To Haves

Experience in the Property & Casualty Insurtech or Financial Services industry.
Preferred location in New York or Chicago.

Responsibilities

Translate requirements and data mapping documents into a technical design.
Develop SQL using dbt.
Develop pipelines using Dagster.
Identify specific records produced as a result of SQL bugs.
Debug and troubleshoot issues found during testing or production.
Communicate project status, issues, and blockers with the team.
Contribute to continuous improvement by identifying and addressing opportunities.
Mentor junior engineers, conduct code reviews, and promote technical best practices across a team.
Balance hands-on development with technical leadership and team guidance.