Data Engineer - USDS (Multiple Positions)

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.

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
Design and build data ETL pipelines efficiently and reliably based on different business initiatives to support business report, risk analysis, and multi-dimensional analysis.
Design and implement reliable, scalable, robust and extensible big data products to support core products and business.
Provide production support for scheduled ETL jobs and perform incident management to resolve any issues related to data and code defects.
Perform production releases and provide post-production support.
Recommend different ways to constantly improve data reliability and quality.
Work cross-functionally with development teams and business customers to address issues and emerging requirements in data products.
Participate in gathering evolving business requirements and functional requirements.
Mentor junior Data Engineers and interns.

Qualifications

Qualifications
Must have a Master's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Business Analytics, Operations Research, Statistics, Mathematics, or a related quantitative field, and 1 year of related work experience; OR a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Business Analytics, Operations Research, Statistics, Mathematics, or a related quantitative field, and 3 years of related work experience.

Of the required experience, must have 1 year 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;
Estimating SLAs for the data pipeline, and triaging and debugging data infrastructure issues; and
Building data services or applications using data query engines HBase, Elastic Search, ClickHouse, or SQL Server, and optimizing the query performance.

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

Salary Range: $170227 - $177000 per year

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

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.

TikTok 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 $170227 - $177000 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.