Data Lake Infrastructure Data Analytics

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Data Lake Infrastructure Data Analytics in USA

ByteDance
Full time
Email

USA
09/07/2026
Report

Seattle, WA

Responsibilities

Build and maintain data lake infrastructure, including storage design, query performance, and cost efficiency.
Develop large-scale batch and streaming pipelines that convert raw model and agent logs into analysis-ready datasets.
Build analytics and metrics platforms for algorithm and product teams.
Own data quality and governance and support continuous improvement with algorithm teams.

Requirements

Currently pursuing a bachelor's or master's degree in computer science, software engineering, data science, or a related field.
Strong fundamentals in data structures, algorithms, and distributed systems.
Strong programming skills in at least one mainstream language and proficiency in SQL.
Hands-on experience with a big data engine or lakehouse storage system.
Demonstrated ability through substantial projects, internships, research, or open-source work.
Preferred: understanding of query engine and lakehouse internals, columnar storage, and query optimization.
Preferred: experience with streaming pipelines, OLAP systems, LLM or agent logs and traces, and cloud-native infrastructure or performance tuning at scale.

Benefits

Summer 2027 internship with hands-on experience, industry exposure, learning programs, development workshops, and social events.
Applicants should state their availability and start and end dates in their resume.
Applications are reviewed on a rolling basis, and candidates may apply to a maximum of two positions across the company and affiliates globally.

ByteDance

ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This...

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