Data Engineer, Financial Crimes - USDS
Apply NowCompany: TikTok
Location: San Jose, CA 95123
Description:
Location :
San Jose
Employment Type :
Regular
Job Code :
A167186
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Responsibilities
USDS Financial Crime Compliance is responsible for overseeing and operationalizing all aspects related to Anti-Money Laundering (AML) and Sanctions Compliance activities related to TikTok USDS's operations. Collaborating cross-functionally with stakeholders across the U.S. and globally, we address complex and cutting-edge challenges, which include the identification of money-laundering, terrorist financing and sanction violations. We seek a highly motivated, experienced, and dynamic professional to join our team. 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. Position Overview As a Data Engineer, you will play a crucial role in leveraging machine learning, analytics, and visualization techniques to enhance our organization's capabilities in detecting and preventing financial crimes. You will be responsible for analyzing large datasets, developing machine learning models, and creating visualizations to identify patterns, anomalies, and potential risks related to money laundering, fraud, and sanctions violations. This role offers an exciting opportunity to apply advanced technology solutions to combat financial crime and ensure regulatory compliance. Responsibilities: - The perfect candidate will leverage strong data infrastructure and architecture skills to design and maintain efficient scalable data systems, strong operational skills to drive efficiency and speed, and apply strategic vision and project management expertise to ensure timely execution of complex data engineering projects that improve FCC compliance processes - Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis - Design, implement, and operate large-scale end-to-end distributed systems to perform data discovery using scalable, reusable, and configurable frameworks / methodologies - Define metrics and create / maintain dashboards for measuring and reporting key performance indicators - Build and manage data inventories and data flow mappings by collecting and aggregating datasets from multiple data source systems - Continuously improve the integrity of data pipelines to provide a comprehensive data service - Build reliable and fault resilient data pipelines
Qualifications
Minimum Qualifications: - Strong understanding of relational databases (e.g., MySQL, PostgreSQL, SQL Server, etc.) advanced topics (e.g., optimization, replication, isolation, etc.) - Bachelor's degree in Computer Science, Statistics, Data Science or a related field. - Skilled in SQL and additional object-oriented programming language (e.g. Scala, Java, or Python). - Experience in issue tracking and problem solving on data pipelines. - Able to understand business needs and collaborative in teamwork. - Experience working with data analytics and data engineering, including experience with data cleaning and preprocessing, data analysis and dashboard development. - Proficiency in data modeling, data design Preferred Qualifications: - 5+ years experience programming and debugging Python, SQL, PySpark - 2+ years of proficiency in distributed data processing using Big Data technologies like Spark/Scala, Java, Hadoop/HDFS/AWS/S3, Cassandra and Kafka - Ability to effectively collaborate with cross-regional teams of diverse backgrounds to meet strategic and tactical objectives as well as serving as an individual contributor - Ability to stay curious about new developments in the industry and learn & adapt quickly - Strong understanding of containers and their orchestration (Kubernetes), and significant experience with public/hybrid/private cloud - Strong background in algorithms and data structures - 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 paced environment - Passionate, curious, and seeking to tackle every day problems with innovation
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $118657 - $250000 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.
About USDS
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.
Data Security Statement
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.
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
Apply to this job
San Jose
Employment Type :
Regular
Job Code :
A167186
Apply to this job
Share this listing:
Responsibilities
USDS Financial Crime Compliance is responsible for overseeing and operationalizing all aspects related to Anti-Money Laundering (AML) and Sanctions Compliance activities related to TikTok USDS's operations. Collaborating cross-functionally with stakeholders across the U.S. and globally, we address complex and cutting-edge challenges, which include the identification of money-laundering, terrorist financing and sanction violations. We seek a highly motivated, experienced, and dynamic professional to join our team. 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. Position Overview As a Data Engineer, you will play a crucial role in leveraging machine learning, analytics, and visualization techniques to enhance our organization's capabilities in detecting and preventing financial crimes. You will be responsible for analyzing large datasets, developing machine learning models, and creating visualizations to identify patterns, anomalies, and potential risks related to money laundering, fraud, and sanctions violations. This role offers an exciting opportunity to apply advanced technology solutions to combat financial crime and ensure regulatory compliance. Responsibilities: - The perfect candidate will leverage strong data infrastructure and architecture skills to design and maintain efficient scalable data systems, strong operational skills to drive efficiency and speed, and apply strategic vision and project management expertise to ensure timely execution of complex data engineering projects that improve FCC compliance processes - Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis - Design, implement, and operate large-scale end-to-end distributed systems to perform data discovery using scalable, reusable, and configurable frameworks / methodologies - Define metrics and create / maintain dashboards for measuring and reporting key performance indicators - Build and manage data inventories and data flow mappings by collecting and aggregating datasets from multiple data source systems - Continuously improve the integrity of data pipelines to provide a comprehensive data service - Build reliable and fault resilient data pipelines
Qualifications
Minimum Qualifications: - Strong understanding of relational databases (e.g., MySQL, PostgreSQL, SQL Server, etc.) advanced topics (e.g., optimization, replication, isolation, etc.) - Bachelor's degree in Computer Science, Statistics, Data Science or a related field. - Skilled in SQL and additional object-oriented programming language (e.g. Scala, Java, or Python). - Experience in issue tracking and problem solving on data pipelines. - Able to understand business needs and collaborative in teamwork. - Experience working with data analytics and data engineering, including experience with data cleaning and preprocessing, data analysis and dashboard development. - Proficiency in data modeling, data design Preferred Qualifications: - 5+ years experience programming and debugging Python, SQL, PySpark - 2+ years of proficiency in distributed data processing using Big Data technologies like Spark/Scala, Java, Hadoop/HDFS/AWS/S3, Cassandra and Kafka - Ability to effectively collaborate with cross-regional teams of diverse backgrounds to meet strategic and tactical objectives as well as serving as an individual contributor - Ability to stay curious about new developments in the industry and learn & adapt quickly - Strong understanding of containers and their orchestration (Kubernetes), and significant experience with public/hybrid/private cloud - Strong background in algorithms and data structures - 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 paced environment - Passionate, curious, and seeking to tackle every day problems with innovation
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $118657 - $250000 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.
About USDS
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.
Data Security Statement
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.
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
Apply to this job