#Engineering
#Insurance
#Technology
#SQL
#Python
#Scala
#Golang
#ETL
#DBT
#AWS
#Redshift
#Data Warehousing
At Pathpoint we are building the modern distribution infrastructure for the $120B excess and surplus insurance market. More than 20 percent of commercial insurance business now flows through this market, yet most agents, brokers, and carriers still rely on manual processes and outdated tools. Our platform replaces those legacy systems with technology that connects carriers and agents nationwide, automating submissions, underwriting, binding, compliance, payments, and service. We are a team committed to raising the bar in E&S insurance, and we are looking for a data engineer who wants to help shape how the industry uses data to move faster and smarter.
About the Role
We are hiring a Mid-Level Data Engineer on a Full Time basis. In this role you will design, build, and maintain the data architecture and pipelines that power our business intelligence and data science work. As the first data engineer on the team, you will collaborate with colleagues across the company to make sure our data is accurate, accessible, and well-documented, directly supporting data-driven decisions that help us scale.
Key Responsibilities
- Design and build complete data products that turn raw information from many sources into clean, reliable models for analytics and machine learning.
- Establish best practices for data ingestion, testing, and governance inside our Redshift data warehouse to keep performance high and data trustworthy.
- Own the systems that validate data accuracy and availability so teams can rely on the information they need every day.
Requirements
- Two to five years of experience in data engineering or a closely related field.
- Bachelor’s degree in a quantitative discipline such as Computer Science, Statistics, or Mathematics.
- Strong command of SQL and solid experience with at least one programming language such as Python, Scala, or Golang.
- Hands-on experience building and refining ETL workflows using tools like dbt and Polytomic.
- Proven work with AWS services that support data storage, warehousing, and related infrastructure.
Location
This position is fully remote and open to candidates located anywhere.
Compensation and Benefits
We offer a remote-first environment with monthly stipends for lunch, home office setup, and WiFi. You will also receive flexible time off, paid parental leave, and access to our 401(k) plan. Pathpoint provides competitive compensation along with equity and healthcare packages.