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Senior Staff Data Engineer

GoFundMe is a global community platform that enables people to help each other, having raised over $30 billion since 2010 through crowdfunding and nonprofit fundraising.
Data
Staff Software Engineer
Hybrid
1,000 - 5,000 Employees
8+ years of experience
Enterprise SaaS

Description For Senior Staff Data Engineer

GoFundMe, a leading global crowdfunding platform that has facilitated over $30 billion in donations since 2010, is seeking a Senior Staff Data Engineer to lead their data ingestion workstream within the Data Platform team. This key position, based in Buenos Aires, Argentina, offers a hybrid work arrangement and sits at the intersection of technical leadership and data infrastructure development.

The role demands a seasoned professional with 8+ years of experience who will be responsible for architecting and implementing robust data ingestion pipelines that power the company's data-driven decision making. The successful candidate will work with cutting-edge technologies including Snowflake, Apache Airflow, Kafka, and various data observability tools to ensure high-quality, reliable data flows throughout the organization.

This position offers an opportunity to make a significant impact at a company that helps millions of people worldwide. The ideal candidate will combine deep technical expertise in data engineering with strong leadership abilities, as they'll be expected to mentor other engineers and collaborate across multiple teams. They'll be responsible for establishing best practices, implementing data governance standards, and driving innovation in data infrastructure.

The compensation package is comprehensive, including competitive pay, extensive healthcare benefits, wellness programs, and unique perks like the 'Gives Back' Program where employees can nominate fundraisers for company donations. GoFundMe's commitment to diversity and inclusion is reflected in their supportive culture and various employee resource groups.

Working at GoFundMe means joining a mission-driven organization that's becoming "the most helpful place in the world." The company's culture is built around core values: being impatient to be great, finding a way, earning trust every day, and being fueled by purpose. This role offers the unique opportunity to combine technical excellence with meaningful impact, helping to power a platform that enables global generosity and support.

Last updated a day ago

Responsibilities For Senior Staff Data Engineer

  • Lead the design, development, and optimization of data ingestion pipelines
  • Define and implement best practices for data ingestion, transformation, governance, and observability
  • Develop and maintain data ingestion frameworks for batch, streaming, and event-driven pipelines
  • Implement and maintain data observability tools
  • Design and enforce automated data quality checks
  • Own and optimize ETL/ELT orchestration
  • Monitor and enhance data ingestion reliability, performance, and security
  • Partner with engineering teams to integrate data from various systems
  • Provide technical mentorship to other engineers
  • Research emerging technologies and advocate for innovations

Requirements For Senior Staff Data Engineer

Python
Kafka
  • 8+ years of experience in data engineering
  • Proven experience in designing and managing data ingestion frameworks
  • Expertise in data observability and monitoring tools
  • Strong experience with batch and real-time data ingestion
  • Proficiency in orchestration tools like Apache Airflow, Prefect, or Dagster
  • Strong understanding of data lineage and anomaly detection
  • Proficiency in SQL and Python
  • Strong knowledge of API-based data integration
  • Hands-on experience with Snowflake
  • Experience with data governance and security best practices
  • Ability to collaborate cross-functionally

Benefits For Senior Staff Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
  • Market competitive pay
  • Rich healthcare benefits
  • Supportive time off policies
  • Monetary support for new hire setup
  • Hybrid work & wellbeing support
  • Family planning support
  • Mental and wellness programs
  • Learning & development programs
  • Recognition programs
  • Employee resource groups
  • 'Gives Back' Program

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