Staff Data Engineer - Insurance Data
Apply NowLocation:
US
Company:
Kin is a direct-to-consumer digital insurer focused on transforming home insurance through technology and personalized service.
Summary:
The Staff Data Engineer will lead the development of data pipelines and data modeling in a cloud-based lakehouse environment, focusing on insurance data. Candidates should have deep experience in big data, a strong background in SQL and Python, and insurance domain knowledge.
Requirements:
Technology: Databricks
Hard Skills: SQL, Python, Data Modeling, Data Pipeline Development
Job Description:
Currently our data engineering organization is building data lakehouses in Databricks that will be used for enterprise reporting. Data Engineering teams are split into two general focus areas–growth data and insurance data.
As a Staff Data Engineer, you will be the technical lead within a team of data engineers focused on insurance data related to claims, policies, products, rates, pricing, renewals, risk, and more.
You will be responsible for designing and developing data pipelines and modeling raw data for downstream ingestion. You’ll play a pivotal role in ensuring the quality, integrity, and security of our data assets. You’ll also be responsible for mentoring and guiding data engineers on your team and across the organization, while collaborating with other engineers, product managers, analysts, and stakeholders.
You will also lead a cross-functional project team with members from AppEng, DataEng, BI, and business stakeholders. This team is tasked with designing solutions to produce effective reporting, implementing data validation standards, and QA procedures to ensure effective data lifecycle and management practices.
