Data Engineer - USDS

Responsibilities

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.

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

Qualifications

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