Pathpoint is building the modern distribution infrastructure for the $120B E&S insurance market. Today, more than 20% of commercial insurance business is placed into the E&S market, yet agents, brokers, and carriers rely on analog, inefficient, and imprecise systems, paperwork, and tools in order to transact. Pathpoint is the only wholesale distribution platform that use technology to connect carriers and agents around the country, streamlining and automating submissions, underwriting, binding, compliance, payments, and service more through technology and and people. All brought to you by a team committed to raising the bar in E&S insurance. As the first data engineer at Pathpoint, you will play an important role in designing, developing, and maintaining the data architecture and pipelines that support our business intelligence reporting and data science initiatives. You will have the opportunity to collaborate with stakeholders across teams to ensure data is accessible, reliable, and well-documented. Your work will directly impact our ability to move fast and often through data-driven decision-making. What we look for: 2-5 years of experience in data engineering or a related field Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) Proficient with SQL and proficiency with at least one programming language (e.g., Python, Scala, Golang) Comfortable with building and optimizing ETL processes with tools like dbt and Polytomic Proven experience with AWS and their data storage, warehousing, and other related services Knowledge of the insurance industry is not required nor expected, but could be a nice to have What you'll do: Design and build end-to-end data tools and products—from raw data in disparate sources to clean data models—that support the growing data processing, business intelligence, and machine learning needs Recommend, develop, and implement best practices for performant data ingestion, testing, and governance in our data warehouse (Redshift) Own systems that validate and guarantee data accuracy and availability Collaborate closely with the data team and other stakeholders to enable execution of our analytics and machine learning roadmaps What we offer: Competitive compensation, equity, and healthcare packages Remote-first working environment while investing in in-person collaboration Monthly lunch stipend Annual home office stipend Monthly WiFi stipend Flexible time off Paid parental leave 401(k) available Pathpoint's Values Hard Problems Drive Us: We believe the insurance industry hasn’t kept up with changing times and fixing that is a hard problem worth solving. We Start with Why: Seek to understand what customers care about. Use data to challenge assumptions and figure out the problem. We Take Ownership and Accountability: We think people are their happiest when they have high ownership and accountability over the problems confronting them and are empowered to move decisively to work on them. We Work Together: Nothing happens without the individual efforts of our team members, but effective teamwork is how we build and maintain customer value. We Move Forward: We value the ability to persist through adversity to achieve goals and believe speed plays an important cfle.
Pathpoint