Data Engineer

Description:

Empathy is transforming the way families navigate life’s most difficult times — from the loss of a loved one to other major life transitions. By combining technology with compassionate human care, we bring clarity, comfort, and peace of mind when it matters most.

We partner with leading employers, insurers, and financial institutions to deliver meaningful, human-centric support at scale. Today, Empathy supports over 45 million people across North America.

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.

In this role you will:

• Own and maintain our DBT models and data warehouse structure
• 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

Requirements:

• 4+ years of experience as a Data Engineer or similar role
• Experience working in product 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 with modern data stacks
• 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