COVU

Technology is disrupting the insurance industry and agencies need to take the initiative if they want to remain competitive in the upcoming disruption. COVU takes a holistic approach to ensure that…

covu.com

COVU

covu.com

HQUS

Team Size74

Open Jobs5

Total Funding-

Latest FundraiseUnknown

TL;DR

Business: AI-native insurance servicing and agency platform for independent P&C agencies

Founded: 2022

Headquarters area: San Francisco / Redwood City area

Employees: 70 (reported)

Total funding (reported): ~$50M (as of Aug 2025 press release) with Series A activity to $22M and prior tranches

Company Overview

Problem Domain

Legacy independent insurance agencies need technology, staffed operational support, and scale to remain competitive amid industry disruption.

Founded

2022

Industry

Insurance

Funding Track Record

Series A (first tranche)- Oct 2024

$12.5M

Described as first tranche of Series A including equity and debt financing

Series A (increase/oversubscription)- Feb 2025

$22M (Series A total reported after increase)

Company reported increasing Series A to $22M and total funding to $32M at that time

Growth financing / additional capital- Aug 2025

$16M

Company press release reported an additional $16M in new capital bringing total to around $50M

Investor Signal

“Investors include Benhamou Global Ventures, ManchesterStory Group, Markd, True Global Ventures, UpHonest Capital, Recursive Ventures, and INP Capital”

Founders

What we do

Join the Team

Senior Data Engineer

On-SiteLos Angeles, CA, US

On-Site • Los Angeles, CA, US

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Location: Los Angeles (On-Site)

Salary Range: $120K-$180K + COVU shares

About COVU

COVU is a venture-backed technology startup transforming the insurance industry. We empower independent agencies with AI-driven insights and digitized operations, enabling them to manage risk more effectively. Our team is building an AI-first company set to redefine the future of insurance distribution.

Role Overview

We are seeking an experienced and product-focused Senior Data Engineer to be a core member of our Platform product team. This is a high-impact role where you will play a pivotal part in evolving our core data infrastructure.

Your primary mission will be to develop key components of our "Policy Journal" - the foundational data asset that will serve as the single source of truth for all policy, commission, and client accounting information. You will work closely with the Lead Data Engineer and business stakeholders to translate requirements into robust data models and scalable pipelines that drive analytics and operational efficiency for our agents, managers, and leadership.

This role requires a blend of greenfield development, strategic refactoring of existing systems, and a deep understanding of how to create trusted, high-quality data products.

What You’ll Do:

Develop the Policy Journal: Be a primary builder of our master data solution that unifies policy, commission, and accounting data from sources like IVANS and Applied EPIC. You will implement the data models and pipelines that create the "gold record" powering our platform.
Ensure Data Quality and Reliability: Implement robust data quality checks, monitoring, and alerting to ensure the accuracy and timeliness of all data pipelines. You will champion and contribute to best practices in data governance and engineering.

What We're Looking For:

5+ years of experience in data engineering, with a proven track record of building and maintaining scalable data pipelines in production.
Expert-level proficiency in Python and SQL.
Strong experience with modern data stack technologies, including a cloud data warehouse (Snowflake or Redshift), a workflow orchestrator (Airflow is highly preferred), and data transformation tools.
Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, RDS).

Bonus Points For:

Direct experience working with data from Agency Management Systems like Applied EPIC, Nowcerts, EZlynx, etc…
Direct experience working with Carrier data (Accord XML, IVANS AL3)
Experience with business intelligence tools like Tableau, Looker, or Power BI.
Prior experience in a startup or fast-paced agile environment.

Application Process:

Intro call with People team
Technical interviews
Final interview with leaders

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