Empathy is on a mission to build a more resilient society one hard moment at a time, which is why we have built the leading platform for life's hardest moments.
With AI plus human care, Empathy supports people through those times that are emotionally charged and logistically hard — from caregiving and leave support to legacy planning and loss support. We partner with life insurers, wealth firms, and banks to bring Empathy to their clients, policyholders, and advisors in the moments that matter most.
Backed by top-tier investors including General Catalyst, Index Ventures, Adams Street, Aleph and Entreé Capital. We've raised over $160 million to date, including a $72 million Series C, to expand our impact and scale our mission worldwide.
We’re looking for a Data Engineer to join our company. This is a hands-on, cross-functional role focused on owning and improving our data quality, pipeline reliability, and modeling infrastructure. You’ll be responsible for managing and optimizing our DBT models, ETL processes, and data connectors - and will work closely with product, operations, and engineering teams to ensure data is accurate, consistent, and accessible.
You should be someone who thrives on autonomy, takes pride in clean and scalable solutions, and enjoys helping others get the data they need.
What you'll do
Architect our entire DBT project and data warehouse structure completely from scratch—a rare, high-impact opportunity
Lead data modeling efforts: Translating business needs into scalable, reliable data models
Build and monitor data pipelines and connectors from various internal and external systems
Ensure high standards of data quality, consistency, and documentation
Collaborate with engineering, product, and operations teams to understand needs and build data solutions
Proactively detect data issues and work to resolve them
Help define and improve internal data best practices and standards
Support data governance efforts and advocate for trustworthy, well-modeled data
You will be one of the pioneers of a new team - passion & energy is required
Requirements
4+ years of experience as a Data Engineer or BI developer
Experience working in product companies or startup companies
Proficient in SQL and DBT, with experience building scalable data models
Hands-on experience with ETL/ELT pipelines and tools
Proficient in Python for data manipulation, automation, and working with APIs or files
Comfortable working alongside AI coding tools (Claude Code or similar). We use AI tooling actively in our workflow, and we expect engineers to leverage it productively and critically.
Strong problem-solving skills and ability to independently manage projects from start to finish
Collaborative, proactive, and kind - you like working with people just as much as with data
Fluent in English
Nice to have
Bachelor’s degree in Computer Science, Engineering, or a related field