Software engineer building and maintaining scalable data movement infrastructure using Spark, Flink, and Airflow to support ML and analytics workloads processing 100B+ daily events.
164k – 230k
Remote2+ YOEData Engineering
About the role
Responsibilities
Create and improve scalable, fault tolerant, self-serve data systems in collaboration with teammates and partner teams
Refine and maintain data infrastructure technologies supporting ML and analytics workflows on data from hundreds of millions of users
Own the Data Movement Platform enabling batch and stream data processing at Reddit
Build new infrastructure for Spark, Flink, and Airflow technologies, including contributing to open source as needed
Build automated solutions to minimize toil for data users and provide a declarative, self-service experience
Share on-call responsibilities and support monitoring/alerting to improve reliability, scalability, latency, and efficiency of the Data Platform
Requirements
2+ years of software engineering experience in a production setting writing clean, maintainable, and well-tested code
Proficient in object-oriented programming languages like Python, Scala, Go, or Java
Demonstrated expertise in designing and implementing large-scale systems with proactive leadership as a self-starter
Experience working with cloud services, Airflow, Kubernetes, CI/CD, Spark, Flink and/or modern cloud-based infrastructure
Excellent communication skills for effective collaboration within a service-oriented team and broader organizational context
Nice-to-Haves
Experience contributing to open source projects
Background in data platform technologies and large-scale data processing systems
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