Responsibilities

Team Intro

The Data Engineering team in Data Platform USDS is focused on ensuring the stability, reliability, scalability and risk management of Tik Tok's US data processing ecosystem. We maintain and operate both batch and streaming pipelines for multiple vertical businesses such as Tik Tok and Tik Tok Shop while simultaneously adhering to strict data compliance standards. We collaborate with a host of internal teams to better enable user experiences by delivering high quality at scale.

As a data engineer in the data platform team area, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world that directly supports the Tik Tok app. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

Key Responsibilities

• Design, implement and maintain reliable, scalable, robust and extensible big data systems that support core products and business.
• 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.
• 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.
• 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 insights.
• Establish solid design and best engineering practice for engineers as well as non-technical people.

Qualifications

Minimum Qualifications

• Bachelors degree in Statistics, Computer Science or a related technical field involving software or systems engineering, or equivalent practical experience.
• 1+ years of experience working with data analytics and data engineering, including experience with data cleaning and preprocessing, data ingestion and ETL (Extraction, Transformation & Loading), data analysis and dashboard development.
• 1+ years experience building dashboards in Tableau, Power BI or any similar visualization tool.

Preferred Qualifications

• Proficiency in distributed data processing using Big Data technologies like Spark/Scala, Python, Hadoop/HDFS/AWS/S3 and Kafka.
• Proficiency in data modeling, data design, SQL and databases.
• 3+ years of Experience with Big Data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, Click House, Flink etc).
• Strong background in algorithms and data structures.
• Experience working with PII and GDPR data.
• Ability to communicate effectively 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.

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.

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.