Data Engineer, Data Application

$136,800 - $205,000/Yr

Tiktok - San Jose, CA

posted 3 months ago

Full-time - Entry Level
San Jose, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. The Ads Data Team at TikTok is responsible for building and managing a petabyte-scale data infrastructure, batch and real-time pipelines, and services that support TikTok's global Ads business. This team is dedicated to creating a robust data foundation and scalable data applications that unlock the full potential of advertising data, optimizing the advertiser experience, boosting business growth, and empowering strategy execution. We are looking for passionate Data Engineers who possess strong problem-solving skills to collaborate with talented cross-functional partners, including business operations, data science, engineering, and product management, to tackle some of the most interesting data challenges efficiently and with high quality. In this role, you will contribute significantly to the company's core business across innovative advertising products, campaign management, and measurement solutions. Your work will have a direct impact on customer satisfaction and company growth. You will be expected to work closely with Product Managers, Data Scientists/Analysts, and Software/Machine Learning Engineers to understand data requirements and deliver data solutions that meet business needs. You will also evaluate, implement, and maintain data infrastructure tools and technologies to support efficient data processing, storage, and querying. Additionally, you will design, build, and optimize scalable data pipelines to ingest, process, and transform large volumes of data, ensuring data integrity, accuracy, and consistency through quality checks and monitoring mechanisms.

Responsibilities

  • Work closely with Product Managers, Data Scientists/Analysts, and Software/Machine Learning Engineers to understand data requirements and deliver data solutions that meet business needs.
  • Evaluate, implement and maintain data infrastructure tools and technologies to support efficient data processing, storage and query.
  • Design, build and optimize scalable data pipelines to ingest, process and transform large volumes of data.
  • Design and implement robust data models and visualization to support complex analytical queries and reporting requirements.
  • Ensure the data integrity, accuracy and consistency of data by implementing data quality checks, validation processes and monitoring mechanisms.
  • Continuously optimize data pipelines, queries and processes to improve performance, reduce latency and enhance scalability.
  • Provide rapid response to SLA on-call support to business critical data pipelines.
  • Create and maintain good documentation for data assets and promote best practices for data governance within the data user community.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven 1-3 years' experience as a Data Engineer or similar role in supporting data-centric business.
  • Strong knowledge of SQL and experience working with relational and non-relational databases.
  • Proficiency in programming languages such as Python, Java, Go, etc.
  • Solid understanding of data modeling and data warehousing concepts, data integration and ETL/ELT techniques.
  • Effective communication skills and ability to collaborate effectively with cross-functional teams.
  • Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment.

Nice-to-haves

  • Experience with big data technologies (e.g. Apache Hadoop, Spark, Kafka, Flink) and working with terabyte to petabyte scale data.
  • Experience with cloud data warehouses (e.g. Snowflake, Databricks, BigQuery) and modern business intelligence/data stack.
  • Experience with data governance, data privacy and compliance.
  • Experience in the advertising, e-commerce or gaming industry.

Benefits

  • 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.
  • Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
  • 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year.
  • 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
  • Mental and emotional health benefits through our EAP and Lyra.
  • 401K company match, gym and cellphone service reimbursements.
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