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TikTok · 3 hours ago

Software Engineer, Data Development - USDS

San Jose, CA

Full-time

Onsite

Senior Level

$119K/yr - $259K/yr

5+ years exp

TikTok is the leading destination for short-form mobile video, and they are seeking a versatile and results-driven Data Engineer to join the USDS Cyber Defense & Engineering team. In this role, you’ll collaborate with cross-functional teams to develop innovative solutions that strengthen the security and privacy of users.

Content CreatorsContent DiscoveryMedia and EntertainmentSocial MediaVideo

H1B Sponsor Likely

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

Qualification

Data EngineeringBig Data TechnologiesETLSQLPythonMachine LearningData WarehousingData ModelingProactiveImpact drivenComfortable with ambiguitySelf-driven

Required

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, 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

Proficiency in Python for Data Science: Strong command of Python libraries essential for data manipulation, analysis, and feature engineering, including Pandas and NumPy

Familiarity with Machine Learning Concepts & Libraries: Understanding of core machine learning concepts (e.g., supervised, unsupervised learning, model evaluation) and practical experience with libraries like Scikit-learn for building and integrating basic ML workflows into data pipelines

Exposure to Deep Learning Frameworks (e.g., PyTorch, TensorFlow): While not necessarily building models from scratch, an understanding of how these frameworks consume and process data is highly beneficial for designing data pipelines that feed into deep learning models (e.g., for anomaly detection, threat intelligence)

Experience with MLOps Principles & Tools: Familiarity with concepts like feature stores, model versioning, and continuous integration/delivery for ML pipelines. Experience with tools like MLflow, Kubeflow, or similar platforms for managing the ML lifecycle is a strong plus

Data Preparation for AI/ML: Proven ability to prepare, clean, and transform large-scale datasets specifically for machine learning model training and inference, ensuring data quality and consistency

Benefits

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

Short-term and long-term disability coverage

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)

Company

TikTok

Glassdoor3.4

TikTok is a short-form video entertainment app and social network platform. It is a sub-organization of ByteDance.

Founded in 2003

Los Angeles, California, USA

10001+ employees

https://www.tiktok.com

H1B Sponsorship

TikTok has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (979)

2024 (601)

2023 (387)

2022 (322)

2021 (133)

2020 (72)