Data Engineer - USDS

TikTok9 months ago
San Jose, CA, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Data Engineer - USDS
Location: San Jose

Employment Type:

Regular

Job Code:

A171088A
Compensation: $118657 - $259200 annually

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.

Key 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.

Required 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.

Benefits & Perks

  • Benefits: Employees have day one access to medical, dental, and vision insurance; a 401(k) savings plan with company match; paid parental leave; short-term and long-term disability coverage; life insurance; and wellbeing benefits. They also receive 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
  • Schedule: Fully in-person up to 5 days a week.

Required Skills

preprocessing
data cleaning
Hadoop
SQL
Spark
NoSQL
data warehousing
data analytics
data engineering
Java
data modeling
Scala
ETL
AWS