Data Engineer

## Description **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 reliability while mentoring others and driving the organization toward more scalable, consistent, and maintainable data solutions. This role involves operational knowledge, technical development, and also provides support to end users and stakeholders. Our HubSpot Developer plays a critical role in optimizing the HubSpot’s performance and ensuring its effective utilization across the organization. This is a unique opportunity to make a significant impact in a growing startup, helping to shape the future of our data-driven culture. If you are passionate about turning data into actionable insights and thrive in a dynamic environment, we’d love to hear from you. About You And Your Experience - Bachelor’s degree in computer science, engineering, or related field — or equivalent practical experience - 10+ years as a hands-on technical contributor in data engineering, analytics engineering, or backend engineering - Deep experience designing and building modern data platforms - Strong expertise with Python and SQL - Experience with Databricks or similar cloud data lakehouse platforms - Extensive experience designing ETL/ELT pipelines and API-based ingestion workflows - Experience ingesting and normalizing data from operational systems such as HubSpot and other SaaS platforms - Experience using AI-assisted coding tools to accelerate development and improve reliability - Demonstrated ability to design scalable data models - Experience enabling BI platforms such as Sigma, Tableau, Looker, or Power BI - Strong understanding of data governance principles including data quality monitoring, access control, documentation, and metric standardization - Demonstrated ability to mentor engineers and elevate technical standards - Strong communication skills; able to explain technical and governance concepts to non-technical stakeholders - Experience with AWS (preferred) - Experience with CI/CD principles and automated testing for data pipelines - Experience working within the product management space (a plus) Role Accountab…