Staff Data Engineer

Want to help us, help others? We’re hiring! 

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 Staff Data Engineer to lead and own design strategy and implementation within data ingestion, data attribution, data security and data reliability and quality workstreams within our Data Platform team. We work with the latest and greatest data platforms and technologies including Snowflake, Databricks, mParticle, Kafka and Flink, amongst others. Your work will directly empower diverse teams in analytics, data science, and data-driven product development, fueling our mission to drive a culture of generosity worldwide. This position requires deep expertise in data ingestion, transformation, and orchestration across our diverse technologies, as well as a passion for data observability, pipeline reliability, and proactive monitoring.

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…

• Lead the design, development, and optimization of data ingestion pipelines, ensuring timely, scalable, and reliable data flows into the enterprise data warehouse (Snowflake).
• Define and implement best practices for data ingestion, transformation, governance, and observability, ensuring consistency, data quality, and compliance across multiple data sources.
• Develop and maintain data ingestion frameworks that support batch, streaming, and event-driven data pipelines.
• Implement and maintain data observability tools to monitor pipeline health, track data lineage, and detect anomalies before they impact downstream users.
• Design and enforce automated data quality checks, validation rules, and anomaly detection to ensure teams can rely on high-integrity data.
• Own and optimize ETL/ELT orchestration (Airflow, Prefect) and ensure efficient, cost-effective data processing.
• Proactively support the health and growth of data infrastructure, ensuring it's secure and adaptable to future needs.
• Partner with data engineering, software engineering, and platform teams to integrate data from transactional systems, streaming services, and third-party APIs.
• Provide technical mentorship to other engineers on data observability best practices, monitoring strategies, and pipeline reliability.
• Stay curious—research and advocate for new technologies that enhance data accessibility, freshness, and impact.
  
  

You have…

• 6+ years of experience in data engineering, with a strong focus on data ingestion, ETL/ELT pipeline design, and large-scale data processing.
• Proven experience in designing and managing data ingestion frameworks for structured and unstructured data.
• Expertise in data observability and monitoring tools (Monte Carlo, Databand, Bigeye, or similar).
• Strong experience with batch and real-time data ingestion (Kafka, Kinesis, Spark Streaming, or equivalent).
• Proficiency in orchestration tools like Apache Airflow, Prefect, or Dagster.
• Strong understanding of data lineage, anomaly detection, and proactive issue resolution in data pipelines.
• Proficiency in SQL and Python for data processing and automation.
• Strong knowledge of API-based data integration and experience working with third-party data sources.
• Hands-on experience with Snowflake and best practices for data warehouse ingestion and management.
• Experience working with data governance, security best practices, and compliance standards.
• Ability to collaborate cross-functionally and communicate technical concepts to non-technical stakeholders.

Nice to have…

• Experience with event tracking, behavioral analytics, and CDP data pipelines (GA, Heap, Segment, RudderStack, etc.).
• Hands-on experience with DBT for data transformation.
• Understanding of data science and machine learning pipelines and how ingestion supports these workflows.

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 and Gives Back programs.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and 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 $181,000 - $271,000 + equity + benefits. Thesalary 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. 

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Dedication to Diversity 

GoFundMe and Classy are committed to leveraging Diversity, Equity, Inclusion, and Belonging to cultivate a culture that embraces and supports the unique identities, experiences, and perspectives of our people and customers.

Our diversity recruiting priority is recognized under our first DEIB Driver: Opportunity Foster Diversity - we identify, recruit, and invest in top talent- ensure our people reflect the unique identities, experiences, and perspectives of the communities we serve and are all given the chance to grow.

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

#LI-GT1