CareerPlan
USAFull-time$123k–$163k2026-11-07 → 2026-11-10

Core

Build scalable data pipelines and enable data analytics for P&C risk applications by transforming and ingesting source data into Snowflake.

Role type

Senior Data Solutions Engineer (Data Engineering & Analytics)

Builds

Scalable data pipelines, curated datasets, and data enablement solutions for risk analytics

Domain

Insurance (P&C) / Data Engineering / Cloud Data Warehousing

Required skills

Python, PySpark, SQL, Snowflake, Azure Data Lake, Azure DevOps, ETL/ELT, API integrations, data modeling

Preferred skills

Kafka, Flink, Fivetran, Matillion, data science, machine learning, Snowflake schema design, NoSQL

Technologies

Azure, Snowflake, Databricks, PySpark, SQL, Kafka, Flink, Fivetran, Matillion

Responsibilities

Explore source data and schemas using SQL to identify data potential; Transform source data into clean formats for downstream analytics; Support ingesting source data into Snowflake; Create and manage Snowflake views, tables, and curated datasets

Seniority

Senior, hands-on IC