Data Engineer, Video Platform - USDS

ntaining robust data processing architectures that support new data and ETL pipelines. Your expertise will ensure that data flows reliably and accurately across various systems, empowering stakeholders with high-quality, actionable insights that impact quality of service, quality of experience and cost optimizations.

Responsibilities

• Craft optimal end to end data processing architecture and systems for new data and ETL pipelines
• Design, build, and maintain efficient and reliable data pipelines to move and transform big data
• Implement and monitor quality control measures to ensure data accuracy, completeness, and consistency
• Drive internal process improvements and automate manual processes for data quality and service level agreement (SLA) management
• Create and maintain technical documentation, such as data dictionaries, data flow diagrams, and system documentation, to ensure efficient and effective data management and analysis.
• Work closely with data engineering and various vertical teams within the Video platform and cross-functional teams within TikTok USDS

Qualifications

Minimum Qualifications:

• Bachelor's degree in Computer Science or a related technical background involving software/system engineering, or equivalent working experience
• 2+ years of experience working with data analytics and data engineering, including experience with data cleaning and preprocessing, data analysis and dashboard development.
• 2+ years of proficiency in distributed data processing using Big Data technologies such as Spark, Hadoop/HDFS, Flink, Hive, YARN, and Kafka
• Good programming experience with SQL and at least one of the following languages: Java, Python, Go, or Scala
• Experience in data analytics and data engineering ETL development, data pipeline design, implementation, and maintenance

Preferred Qualifications:

• Demonstrated independent thinking capabilities and troubleshooting skills in large scale distributed systems
• Good communication and coordination skills
• Strong background in algorithms and data structures
• Experience in building data solutions with AWS, Google, Azure and other cloud services is a plus

Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $118657 - $168150 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.