Senior Software Engineer - Data Platform

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 Senior Software Engineer to join our Data Platform team! In this position, you will play a pivotal role within our expanding Data team, to help build and scale our next-generation data platform, starting with foundational systems like Master Data Management (MDM) and expanding into a broader event-driven ecosystem. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. This is a highly impactful, hands-on role where you’ll design and implement distributed, event-driven systems that power analytics, data science, and operational use cases across the company. This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina. The Job Build core services for an event-driven, source-of-truth data platform on AWS Develop and operate Kafka-based pipelines and stream consumers Design systems where events are the source of truth and state can be rebuilt via replay Define patterns for idempotency, ordering, retries, and DLQs Design for auditability, replay, recovery, and rollback using S3 + Iceberg Build APIs and purpose-driven projections (read models) for downstream systems Design and evolve scalable, reliable distributed systems Make thoughtful tradeoffs across consistency, latency, and cost Establish best practices for event-driven architecture and data modeling Develop and orchestrate streaming and ELT pipelines from databases, APIs, and event streams Contribute to data warehouse (e.g., Snowflake) and data activation use cases where needed Integrate AI/LLM capabilities into data workflows and internal data products Monitor and optimize system performance, cost, and reliability Collaborate across engineering, data, and product teams to deliver impactful solutions You 7+ years of backend or data engineering experience Strong programming skills in Java, Kotlin, Python, or Go Solid understanding of distributed systems and system design Hands-on experience with Kafka (or equivalent) Strong understanding of: Topic design, partitioning, consumer groups Idempotency, ordering, delivery semantics Replay, backfills, and failure handling Experience designing systems where event streams drive state and projections Strong experience with AWS (MSK, S3) Working knowledge of Snowflake or similar data warehouse Strong SQL and experience building ELT/streaming pipelines Strong experience with Postgres/MySQL Solid data modeling and performance optimization skills Understands event logs vs read models tradeoffs Ability to design systems from scratch and evolve architectures Familiarity with LLMs/AI tooling (e.g., embeddings, RAG, prompt design) Strong ownership mindset with end-to-end execution Preferred Experience with Apache Iceberg Familiarity with Flink or stream processing frameworks Experience with CDC tools (e.g., Debezium) Experience with DBT, Reverse ETL, or modern data stack tools Experience with Terraform, Kubernetes (EKS) Exposure to MDM, identity, or data governance systems Familiarity with vector databases or AI-powered data systems 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 an ... (truncated, view full listing at source)