Data Platform Engineer — Live Data & LLM Solutions

TikTok; San Jose (CA); On-site; USD 123,000 - 259,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid Personal Time

Job summary

TikTok is seeking a data engineer on the Global Live team to help build and optimize one of the world’s largest data platforms. You will work on real-time and offline data warehouses and data assets to support TikTok LIVE growth.

You’ll collaborate with data engineers and business teams worldwide to translate problems into scalable data solutions, enabling growth in user metrics and revenue; familiarity with SQL, Python, data warehousing, and innovative data tooling is valued.

Qualifications

• Pursuing a Master’s in Software Development, CS, CE, Math, Statistics, Data Science or related field.
• Experience building data solutions, such as data consulting, product development, and data tools creation.
• Strong problem-solving and analytical skills to translate business needs into technical data metrics.

Responsibilities

• Understand business problems and design easy-to-use data solutions.
• Collaborate with data engineers to understand the data system and provide smooth data usage for users.
• Work with global business teams to drive user growth and revenue growth.

Skills

SQL

Python

Data warehousing

Data analysis

Problem solving

Big data

Education

Master's in Computer Science / related field

Job description

TikTok is seeking a data engineer on the Global Live team to help build and optimize one of the world’s largest data platforms. You will work on real-time and offline data warehouses and data assets to support TikTok LIVE growth.

You’ll collaborate with data engineers and business teams worldwide to translate problems into scalable data solutions, enabling growth in user metrics and revenue; familiarity with SQL, Python, data warehousing, and innovative data tooling is valued.