Data Analytical Engineer, Payment Data Intelligence - USDS

Responsibilities Design, build, and optimize robust, scalable data models and ETL/ELT pipelines to ingest, process, and transform large volumes of payment transaction data from various data sources (RDS, MQ, 3rd Party, etc.). Manage and maintain the data warehouse environment and data lake infrastructure, ensuring high performance, availability, and security. Implement automated data quality checks, monitoring, and validation processes to ensure the accuracy, completeness, and consistency of all payment intelligence datasets. Tune data pipelines and queries for maximum performance and cost efficiency, especially for real-time and near real-time data flows. Collaborate with Data Scientists, Data Analysts, Product Managers, and solution teams to understand data requirements and deliver custom data solutions that power reports, dashboards, and analytical models. Evaluate and implement new technologies and tools to improve data engineering efficiency and the overall data ecosystem. 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 in Data Engineering, Analytical Engineering, BI Engineering, or a similar role. SQL Expertise: Expert-level SQL and experience with large, complex datasets in a cloud-based data warehouse. Programming: Strong proficiency in a data manipulation language (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: Experience 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. About USDS TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale. On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We\'re resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion 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. USDS Reasonable Accommodation USDS 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://tinyurl.com/USDS-RA Job Information 【For Pay Transparency】Compensation Description (Annually): The base salary range for this position in the selected city is $122574 - $259200 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 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. 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. #J-18808-Ljbffr