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Senior Data Infrastructure Engineer






San Francisco, CA, US


Udemy is looking for an experienced Data Engineer to join our team.  As Udemy grows, you will play a meaningful role in scaling our data infrastructure as well as make our user experience interacting with data more efficient, pleasant, and productive.  You will design, build, and integrate scalable backend systems, platforms, and tools which will help us achieve our mission of improving lives through learning.
If you want to make an impact, now is the best time to do it.  This year, we are transforming the current data infrastructure into a self-service data platform.  Help us make this next giant leap here at Udemy.


    • Build and own a scalable and robust self-service data platform that powers batch and real-time data processing of billions of events daily
    • Build and deploy end-to-end data pipelines
    • Collaborate with data scientists, engineers and product managers to develop, test and deploy new data driven solutions
    • Lead by example and contribute to a team culture that values integrity, excellence and collaboration while fostering initiatives and innovation
    • Investigate new technologies that improve our data infrastructure


    • 3+ years of experience as a data engineer or 5+ years as a software engineer
    • Strong CS fundamentals including data structures, algorithms, and distributed systems
    • Deep understanding of data processing frameworks and tools, such as Spark, Hadoop, Hive, Kafka, etc
    • Collaborative attitude with a willingness to lead when necessary
    • Self-starter, highly motivated and able to learn quickly
    • Excellent with object-oriented and functional programming languages, such as Python, Scala, Java, etc

Preferred (but not required):

    • Experience in designing and developing data pipelines
    • Experience with relational SQL and NoSQL databases such as Cassandra, ElasticSearch, and MySQL
    • Familiarity with 1 or more cloud services such as AWS, GCP, or Azure
    • Experience with machine learning
    • Experience with Docker containers and orchestration frameworks such as Mesos/Marathon and Kubernetes

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