Data Engineer
Company: Covered Insurance Solutions
Location: Denver, CO 80204 (Remote)
Salary: $130,000 - $140,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-03-19
About this role
Data Engineer
Target Salary: $135,000 | Denver, HQ | Report to Head of Technology
Are you ready to be a part of something BIG and GROUNDBREAKING?
At Covered, we are focused on building the future of insurance. Joining Covered Insurance means stepping into a FAST-PACED, INNOVATIVE environment where you can help to REDEFINE the future of insurance. Unlike traditional firms, we leverage cutting-edge APIs, pre-built UI components, and a full-service licensed stack to create smarter, more customer-centric solutions.
Who Is Covered?
Covered, a best-in-class B2B2C embedded insurance marketplace, intends to make insurance easy to understand and painless to purchase. We believe the independent agent is increasingly important, and technology should be built to empower the agent and deliver delightful digital experiences to the customer. By partnering with lenders, financial institutions, and fintech companies, we deliver our personalized embedded insurance marketplace to their customers.
About This Role
As a Data Engineer at Covered, you will own and evolve our modern data platform, ensuring that trusted, well-governed data powers every decision across the organization.
You will lead the design and development of scalable data pipelines in Databricks, curate business-ready datasets for consumption in Sigma, and establish the foundational data governance framework that ensures quality, consistency, and reliability across all reporting and analytics.
Partnering closely with the Product & Engineering organization, you will work with Agency Operations, Finance, and Business Development to align on shared metrics, define trusted data sources, and enable scalable self-service analytics across Covered’s business units.
This role combines deep technical execution with architectural leadership and cross-functional influence. You will be expected to raise the bar for data quality, modeling, testing, governance, and platform ...