Data Engineer, Cloud and System

About the position

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us. Our Infrastructure Engineering team supports the company's fast growth by building and operating hyper-scale datacenters, managing the life cycle of server fleet, providing cloud solutions, and developing various infrastructure services and making sure they are scalable and are reliable.

Responsibilities

• Identify, collect, and integrate data from multiple sources, including APIs, logs, structured databases, and unstructured datasets.
• Develop and maintain robust ETL pipelines to process and transform large-scale data efficiently.
• Apply data validation, error analysis, and accuracy validation techniques to ensure data consistency and quality.
• Utilize algorithms and models to mine data, uncover insights, and solve key business problems related to performance, cost, stability and reliability.
• Design and implement data visualization solutions to support multiple business use cases and perspectives.
• Establish best engineering practices and work closely with Software Engineers, SREs and Finance.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 0-3 years of experience in data engineering, cloud infrastructure, or system operations (internship experience is a plus).
• Strong experience with SQL, Python, or Scala for data processing.
• Hands-on experience with ETL frameworks, data pipelines, and workflow orchestration tools (e.g., Airflow, Spark, dbt).
• Experience working with big data technologies (Hadoop, Kafka, Flink, etc.).
• Knowledge of data visualization tools (Tableau, Power BI, or internal dashboarding solutions) is a plus.

Nice-to-haves

• Familiarity with cloud platforms (AWS, GCP, Azure, or OCI) and their data processing services.
• Exposure to machine learning models and predictive analytics for data-driven insights.
• Understanding of data governance, security, and compliance standards.

Benefits

• Medical, dental, and vision insurance from day one.
• 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).