Data Engineer - USDS

About TikTok U.S. Data Security
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

As an Data Engineer, you will have significant responsibility and influence in shaping the Data Cycling Center's strategic direction. This role is inherently multi-functional, and the ideal candidate will work across disciplines. We are looking for someone with a love for data and the ability to iterate quickly. Successful candidates will have strong engineering skills and communication and a belief that data-driven processes lead to phenomenal products.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Responsibilities
- Work with business stakeholders, engineering, product and SRE teams to understand business requirements and convert that into technical requirements, including developing prototypes to demonstrate the feasibility of data and analytics solutions.
- Extract data from various sources such as APIs, HIVE tables and other structured and unstructured data sources to process and store large volumes of data ensuring data accuracy, consistency, and security.
- Design, build, and maintain data pipelines utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources to ensure data is easily accessible and can be used effectively by other members of the organization.
- Implement and monitor quality control measures to ensure data accuracy, completeness, and consistency.
- Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis.
- Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
- Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
- Ability to analyze and visualize data to provide business stakeholders with impactful, actionable insightsMinimum 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.
- 2+ years experience building dashboards in Tableau, Power BI or any similar visualization tool.
- Proficiency in distributed data processing using Big Data technologies like Spark/Scala, Java, Hadoop/HDFS/AWS/S3, Cassandra and Kafka
- Proficiency in data modeling, data design, SQL, and NoSQL databases

Preferred Qualifications:
- Experience in a consumer web or mobile company
- Strong background in algorithms and data structures
- Experience working with PII and GDPR data
- Ability to communicate effectively, both written and verbal, with technical and non-technical partners
- Ability to deliver consistent high quality results while working in a fast environment
- Passionate, curious, and seeking to tackle every day problems with innovation

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/ktJP6.

This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.