Benefits

Education

Bachelor's degree

Full Job Description

Role Overview We are looking for a motivated and detail-oriented Software Engineer to join our growing data infrastructure team. In this role, you will help build, maintain, and scale the pipelines that power our data-driven decision-making. You will work closely with senior engineers to develop robust ETL processes, manage containerized services in Kubernetes, and build scalable data streaming solutions. What You Will Do Design, build, and maintain efficient ETL pipelines to ingest and process large datasets. Assist in the deployment and monitoring of containerized applications using Kubernetes within a cloud environment. Support the development and maintenance of real-time data streaming architectures using Apache Kafka. Why It Might Be a Fit This is an ideal role for an engineer who is passionate about cloud-native technologies and big data ecosystems. You will work in an Agile environment with cross-functional teams to troubleshoot issues and optimize system performance. Requirements Strong proficiency in Python Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure) Basic understanding of Kubernetes and Docker Familiarity with Apache Spark for data processing and Apache Kafka for message queuing/streaming Understanding of ETL design patterns, data modeling, and working with SQL/NoSQL databases Proficiency with Git for collaborative software development Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience) Benefits Competitive salary Equity Health insurance Paid time off Retirement plan Learning budget Parental leave Wellness program Visa/relocation assistance Remote flexibility Stipends Bonus/commission

Skills and Technologies