Beam Impact · US Fully Remote; NYC Hybrid Available
Senior Data Engineer on the Engineering team building and maintaining the data platform, which processes more than 7TB of data every 90 minutes. The role involves Python and SQL development, Apache Spark, Airflow, and Snowflake on S3, with Kubernetes on EKS for infrastructure. The work supports the Client Strategy, Business Operations, and partner-facing reporting.
Are you looking to join a highly motivated team working for social impact? At Beam we’re on a mission to shift $10 Billion to high-impact nonprofits.
About the role
As a Senior Data Engineer on our Engineering team with a focus on data development, you will be working with a team of talented developers responsible for helping create and maintain the data platform, infrastructure, and processes that power the internal and external facing business intelligence that drives Beam’s mission. Our data platform processes more than 7TB of data every 90 minutes, delivering complex analytics to our partners and actionable data to our internal stakeholders. You will have the opportunity to work with a wide range of open source data technologies, building new features, supporting existing functionality through bug fixing and enhancements, and will have a significant impact on a core part of our business.
We’re a highly collaborative team motivated by impact and our high growth environment. This is an opportunity for someone excited to have a high level of impact on Beam’s continued success.
Our Data tech stack
What you’ll do
What we’re looking for
Nice to haves
Compensation and perks
Location - Remote
We are a remote-first company, so our team works from wherever they are. We also have office space in New York, currently in Hearst Tower, where you’re free to come work from as well. We have no plans to require in-office work.
Compensation: $176K - $198K