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Job Details

Senior Data Engineer at Evernote
Beijing, CN

Design, build and maintain efficient and reliable data pipelines to move data across systems
Implement data workflows that let users aggregate and structure data for high-performance analytics
Collaborate with multiple teams in high visibility roles to implement new data workflows and lead the solution end-to-end
Design and develop new 3rd party integrations in a number of languages to facilitate effective data consumption
Work with Analytics Team to evaluate, benchmark and integrate state of the art open source data tools and technologies
Facilitate Growth team to continuously evaluate and deploy data infrastructure for detailed analysis
Monitor the data pipeline and workflow performance and optimize as needed


At least 5 years of software development experience
At least 2 years of experience working with data at scale, especially with distributed systems
B.S./M.S. in Computer Science or a related field, or equivalent experience
Experience with at least one scripting language like Python and one object-oriented language like Java
Experience with network programming and relational databases
Experience with Hadoop, Spark, Hive, Presto
Familiar with data engineering and analytics in Cloud environment
Experience with Airflow will be a plus
Experience with Tencent QCloud will be a plus
Able to communicate complex concepts clearly and accurately
Willingness to learn new technologies, tools, and approaches to problem-solving
Sharp troubleshooting skills to identify and fix issues quickly
Fluent in English

We are committed to an inclusive and diverse Evernote. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global Evernote Community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.