Senior Data Engineer — Data Enrichment & Trusted Pipelines

Accelerant; New York (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

Accelerant is building a greenfield data enrichment capability to fuse third-party datasets with internal data and AI insights for underwriting, claims, and analytics. As Senior Data Engineer, you will drive production pipelines, matching logic, APIs, and enrichment services that directly impact risk decisions.

You will evaluate vendors, design ELT workflows, implement data governance, and collaborate across Analytics Engineering, Data Science, and Actuarial teams to deliver reliable data

Qualifications

• Experience building and operating production data pipelines using API and file-based integrations.
• Strong SQL and Python skills with ability to write maintainable ETL/ELT.
• Familiarity with modern cloud data platforms and tooling (dbt, Snowflake).
• Hands-on with entity matching, data quality, metadata lineage, and governance.

Responsibilities

• Evaluate and onboard new data vendors, validating data quality and coverage.
• Build and operate scalable ingestion pipelines for APIs and bulk file feeds.
• Design ELT workflows using Python, SQL, dbt, Snowflake (or equivalent).
• Develop entity resolution and record-linkage across datasets.
• Create APIs and services to share enriched data across teams.
• Implement data governance controls including lineage and permissions.
• Own geocoding, address standardisation, monitoring, and alerting.
• Build confidence-scoring and multi-source data resolution frameworks.
• Partner with Analytics Eng, Data Science, Actuarial, and vendors to deliver data products.

Skills

SQL

Python

TypeScript

API dev

Data pipelines

Entity matching

Data quality

Metadata governance

LLM data

Education

BS/BA in CS or related

Tools

dbt

Snowflake

Job description

Accelerant is building a greenfield data enrichment capability to fuse third-party datasets with internal data and AI insights for underwriting, claims, and analytics. As Senior Data Engineer, you will drive production pipelines, matching logic, APIs, and enrichment services that directly impact risk decisions.

You will evaluate vendors, design ELT workflows, implement data governance, and collaborate across Analytics Engineering, Data Science, and Actuarial teams to deliver reliable data