Senior 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 Senior Data Engineer to join our outstanding Data Insights team! In this position, you will play a pivotal role within our expanding Data team, contributing to the creation of robust data pipelines that empower analytics, data science, and data product development. This, in turn, drives business growth, fostering a worldwide environment of peer-to-peer generosity. This position requires a high level of technical proficiency across diverse technologies for the development and management of our corporate data warehouse. It involves collecting data from multiple databases and web APIs and seamlessly integrating this data with external systems. This is a hybrid position. Candidates considered for this role will be located in Buenos Aires, Argentina. The Job Develop and maintain enterprise data warehouse (Snowflake) Develop and orchestrate ELT data pipelines (sourcing data from databases, streaming data, various web APIs, etc.) Integrate data from data warehouse into third party tools to make data actionable (Reverse ETL) Develop and sustain REST API endpoints for data science products Provide ongoing maintenance and improvements to existing data warehouse solutions Monitor and optimize Snowflake data warehouse usage, ensuring cost-effectiveness, performance, safety, and accurate permissions management. Work in collaboration with analysts, engineers, and business users to formulate solutions. Research innovative technologies and make continuous improvements 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 Expertise in orchestration tools like Airflow or Prefect Proficiency in connecting data through web APIs across different systems Proficiency in writing and optimizing SQL queries Solid knowledge of Python, Java, C++ or other programming languages Experience with Snowflake is required Experience implementing improvements in Snowflake is highly desirable Good understanding of database architecture and best practices Understanding of data science and machine learning technologies a plus Experience with event and user tracking tools and data (GA, Heap, CDP’s) is a plus DBT experience is highly desirable Experience with Infrastructure as Code tools, particularly Terraform, is a plus Hands-on experience with Kubernetes (K8s), specifically in AWS EKS environments is a plus Bachelor's degree or equivalent experience in Engineering is desirable 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 G…