About the Team

The Global Payment team of U.S. Data Security department of Tik Tok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on Tik Tok platform.

The Payment Data Intelligence team is responsible for providing data driven intelligence to empower payment business growth, optimize payment processes and improve customer experience. We're looking for a highly skilled and motivated Data Analytical Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining the scalable data infrastructure and ETL/ELT pipelines necessary to transform complex raw payment data into reliable, high-quality, and actionable datasets. This role is critical in driving strategic decision-making and optimizing our payment operations, fraud detection, and financial reporting.

Responsibilities

• Design and Development: Design, build, and optimize robust, scalable data models and ETL/ELT pipelines to ingest, process, and transform massive volumes of payment transaction data from various data sources (RDS, MQ, 3rd Party etc).
• Infrastructure Management: Manage and maintain our data warehouse environment and data lake infrastructure, ensuring high performance, availability, and security.
• Data Quality and Governance: Implement automated data quality checks, monitoring, and validation processes to ensure the accuracy, completeness, and consistency of all payment intelligence datasets.
• Performance Optimization: Tune data pipelines and queries for maximum performance and cost efficiency, especially for real-time and near real-time data flows.
• Collaboration: Work closely with Data Scientists, Data Analysts, Product Managers, and solution teams to understand their data requirements and deliver custom data solutions that power reports, dashboards, and analytical models.
• Tooling and Technology: Evaluate and implement new technologies and tools to improve data engineering efficiency and the overall data ecosystem.
• Documentation: Create and maintain comprehensive documentation for data models, architecture, and ETL/ELT processes.

Qualifications

Minimum Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• Experience: 3+ years of professional experience in Data Engineering, Analytical Engineering, BI Engineering, or similar role.
• SQL Expertise: Expert-level knowledge of SQL and deep experience working with large, complex datasets in a cloud-based data warehouse.
• Programming: Strong proficiency in a programming language used for data manipulation and pipeline construction (e.g., Python).
• Data Pipelining: Hands-on experience designing and building production-grade data pipelines using orchestration tools.
• Data Modeling: Solid understanding of data warehousing concepts, dimensional modeling (Star/Snowflake schema), and OLAP structures.
• Cloud Platforms: Experience with at least one major cloud platform and its data services.

Preferred Qualifications

• Domain Knowledge: Previous experience working with payment data (e.g., card transactions, ACH, wallets), financial data, or fraud/risk datasets.
• Streaming Experience: Experience with real-time or streaming data technologies (e.g., Kafka, Kinesis, Spark Streaming).
• Data Ops: Data SLA monitoring and assurance, data storage and computing resource management and optimization.

Compensation

The base salary range for this position in the selected city is $118,657 - $259,200 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits

Benefits may vary depending on the nature of employment and the country work location. 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, wellbeing benefits, among others. Employees 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).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

Additional Information for Los Angeles County (Unincorporated) Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.