Data Engineer - USDS

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We are seeking a versatile and results-driven Data Engineer to join the USDS Cyber Defense & Engineering team at TikTok. In this role, you’ll collaborate with cross-functional teams across regions to develop innovative solutions that strengthen the security and privacy of our users, helping make TikTok the most trusted platform. The ideal candidate is a strong problem solver with proven technical expertise, business acumen, and a passion for cybersecurity. You thrive in dynamic environments and have a track record of delivering impactful, cross-team projects. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Responsibilities - Identify critical analytical problems and apply an engineering mindset to find innovative solutions with data. - Develop expertise in the USDS data to build and own relevant pipelines/ETLs. - Own data integrity, availability, transformation logic, and efficient data access to support the growing needs of the organization. - Identify gaps in existing data, create data product specs, and implement data tracking. - Incorporate automation wherever possible to improve data pipelines and analyses. - Build and maintain documentation to ensure data accessibility - Be our go-to data expert and have a deep understanding of our data warehouse and data processing layers. - Be a primary point of contact for ad hoc data requests and reporting
Minimum Qualifications: - Bachelors degree in Statistics, Economics, Computer Science or another quantitative field - 5+ years of experience working with data analytics and data engineering, including experience with data cleaning and preprocessing, data analysis and dashboard development. - Proficiency in distributed data processing using Big Data technologies like Spark/Scala, Java, Hadoop/HDFS/AWS/S3, Cassandra and Kafka - Proficiency in ETL , data warehousing, data modeling, data design, SQL, and NoSQL databases - Proactive, self-driven and impact driven person - Comfortable with ambiguity; able to thrive with minimal oversight and process Preferred Qualifications - 5+ years of experience working with data analytics and data engineering, including experience with data cleaning and preprocessing, data analysis and dashboard development. - Proficiency in distributed data processing using Big Data technologies like Spark/Scala, Java, Hadoop/HDFS/AWS/S3, Cassandra and Kafka - Proficiency in ETL , data warehousing, data modeling, data design, SQL, and NoSQL databases - Ability to work effectively in a cross-functional team environment
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Location:
San Jose

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