Staff Data Engineer - San Francisco

Location: Onsite (San Francisco)

About COVU:

COVU is a venture-backed insurtech startup modernizing independent agencies through AI-native operations. We unify data, communications, and workflows to empower agents and automate insurance servicing at scale. Our platform blends cloud infrastructure, deep integrations, and cutting-edge AI to build the future of intelligent insurance distribution.

Role Overview:

We’re hiring a Staff Data Engineer to lead the development of our central data platform , which powers agent workflows, BI dashboards, and AI services across all domains—insurance, CRM, communications, and more. You’ll build and scale pipelines from agency AMSs , insurance carriers (via integrations or RPA), and third-party data providers (e.g., LexisNexis, Verisk). You’ll ensure the platform is secure, observable, high-performing, and ready to serve real-time and batch needs across internal teams. This role also includes automating manual ETL processes , especially in onboarding and data mapping, and collaborating cross-functionally to deliver usable data to BI, AI, and operations teams.

What You’ll Do:

Own the Data Platform

• Build high-scale, multi-source pipelines (AMS, carriers, CRM, comms, 3rd-party enrichment)


• Architect for real-time + batch processing, with observability and access control baked in

Automate with AI

• Use LLMs or custom rules to automate onboarding workflows like mapping or normalization


• Build tools to reduce repetitive ETL work and accelerate data integration velocity

Support Multi-Domain Use

• Enable performance for insurance data, customer comms, CRM/case records, and more


• Collaborate with BI, AI, and product teams to deliver clean and usable data models

Ensure Quality and Compliance

• Implement QA, logging, monitoring, RBAC, and PII protection


• Maintain integrity and trust in the data used by our platform and agents

Who You Are:

• 8+ years of experience in data engineering or analytics engineering


• Expert in Python, SQL, and DBT (plus: Java)


• Proven experience with AWS-native tools: Redshift, Lambda, Glue, Step Functions, EventBridge, etc.


• Experience working with operational databases (e.g., PostgreSQL, DynamoDB, etc.)


• Experience integrating structured + unstructured data from external vendors or APIs


• Familiar with BI tools (QuickSight, Tableau) and modern DataOps practices


• Able to flex between platform building, BI support, and automation


• Bonus: Insurance data familiarity (e.g., Epic, ACORD, Verisk), or LLM-driven data automation

Why Join Us:

• Build the data backbone of an AI-native platform across multiple domains


• Work on high-impact pipelines and automations that drive the business


• Hybrid collaboration with a sharp, mission-driven LA-based team


• Shape how data empowers our agents, AI, and business decisions