Senior Data Engineer - USDS (Multiple Positions)

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the Team
Our team plays a crucial role in ensuring the company's success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you'll be part of a team that's developing new solutions to new challenges. It's working fast, at scale, and we're making a difference. We are looking for talents to join us on this exciting journey!

Responsibilities
Work with business stakeholders, engineering, product and SRE teams to understand business requirements and convert that into technical requirements, including developing prototypes to demonstrate the feasibility of data and analytics solutions.
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.
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.
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.

Qualifications

Qualifications
Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Information Systems, Data Science, Business Analytics, Operations Research, Statistics, Mathematics, or a related quantitative field, and 2 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Information Systems, Data Science, Business Analytics, Operations Research, Statistics, Mathematics, or a related quantitative field, and 5 years of post-bachelor's, progressive related work experience.

Of the required experience, must have 2 years of experience in each of the following:
Designing and modeling data warehouse to support data analytics, reporting, and data applications;
Implementing data warehouse and ETL processes using Hive, Spark, Hadoop, or SQL Server to optimize the data processing performance;
Programming using SQL, Python, and Java; and
Estimating SLAs for the data pipeline, and triaging and debugging data infrastructure issues.

Employer: TikTok U.S. Data Security Inc.
Type: Full time, 40 hours/week
Location: Mountain View, CA

Salary Range: $233958 - $355000 per year

To Apply, click the apply button below. Contact lpresumes@tiktokusds.com if you have difficulty submitting resume through the website.

TikTok U.S. Data Security 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 U.S. Data Security, 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.

TikTok U.S. Data Security 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 lpresumes@tiktokusds.com

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Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $233958 - $355000 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.