Senior Data Engineer

Senior Data Engineer

GoFundMe is the world's most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Senior Data Engineer to join our Analytics Engineering squad within the Data Platform team. In this role, you'll help make our data reliable, high-performing, and easy to use for analysts, scientists, and business teams. You'll also explore using AI to assist our team in building and maintaining data models, ensuring we move fast without sacrificing quality. You'll have a unique chance to own the normalized layer, improve how we monitor and test our models, and shape the way our analytics work at the company.

Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week.

The Job

• Own and improve our normalized data layer, ensuring consistency, scalability, and high performance.
• Build automated tests and monitoring to catch issues before they reach production.
• Work closely with Analytics Engineers and Data Engineers to ensure data pipelines and models produce accurate, consistent, and well-structured data, coordinating on model design, testing, and quality checks to support reliable reporting and analytics.
• Contribute to Snowflake performance and cost optimization, helping ensure queries are fast and efficient.
• Explore ways to use AI to help the team design models, generate code suggestions, review changes, and detect anomalies.
• Maintain clear documentation and standards so everyone on the team can move fast with confidence.

You

• 5+ years as a data engineer crafting, developing and maintaining business data warehouse alternatives consisting of structured and unstructured data.
• Proficiency with building and orchestrating data pipelines using ETL/data preparation tools.
• Strong SQL and Python skills.
• Experience with data observability, automated testing, and monitoring frameworks.
• Comfortable with Snowflake performance tuning and managing large datasets.
• Collaborative and proactive — you like helping teams move faster and more reliably.
• Fluent in English (written and spoken).

Why You'll Love It Here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The total annual salary for this full-time position is $156,000 - $234,000 + equity + benefits. As this is a hybrid position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process.