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Full-time

Data Engineer, Edge Services

Competitive

San Jose, CAIT & TechnologyPosted 19d ago

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Role overview

Job type

Full-time

Salary

Competitive

Location

San Jose, CA

Posted

19 days ago

Job description

TikTok USDS Joint Venture is hiring a Data Engineer to build, optimize, and scale data systems for its U.S. Edge and CDN platform. The role develops streaming pipelines, data warehouses, analytics products, and monitoring to support reliability, cost optimization, capacity planning, and business insights.

Responsibilities

Design and implement high-concurrency, real-time streaming pipelines (using Flink, Spark Streaming, or Kafka) that ingest and process CDN measurement data, edge access logs, and infrastructure telemetry at hyperscale

Lead the design and maintenance of high-quality offline and real-time data warehouses, ensuring robust ETL/ELT processes that consolidate edge, network, and client-side data into a unified source of truth

Build data and analytics products that drive intelligent SRE — feeding statistical and ML-assisted anomaly detection, alerting, and root-cause analysis for the global edge fleet

Develop cost attribution and optimization datasets that quantify edge resource spend (bandwidth, compute, storage, peering) and surface optimization opportunities across PoPs, ISPs, and product lines

Build demand forecasting and capacity planning datasets that combine historical traffic, seasonality, growth, and event signals to inform procurement and deployment of edge capacity

Design and deliver dashboards, compasses, and self-service analytics that surface the health, performance, cost, and growth of the Edge and CDN platform to engineers, leaders, and cross-functional partners

Establish proactive monitoring, data quality, and lineage frameworks to ensure pipeline stability and the integrity of critical business and reliability metrics

Preferred

Experience operating at hyperscale on data lake / lakehouse architectures (Hudi, Iceberg, Delta) and OLAP engines (ClickHouse, Doris, Presto/Trino)

Domain experience with CDN, edge, networking, or large-scale infrastructure telemetry (access logs, RUM, NetFlow, peering data), and SRE/observability use cases such as anomaly detection and SLO analytics

Demonstrated leadership and self-direction; strong written and verbal communication skills, with a willingness to both teach others and learn new techniques

Hyperscale Data Lake Architectures

Lakehouse Architectures

Apache Hudi

Apache Iceberg

Delta Lake

ClickHouse

Apache Doris

Presto

Trino

CDN

Edge Computing

Infrastructure Telemetry

Access Log Analytics

Real User Monitoring (RUM)

NetFlow

Peering Data

Site Reliability Engineering (SRE)

Observability

Anomaly Detection

SLO Analytics

Leadership

Self-Direction

Written Communication

Verbal Communication

Teaching

Willingness to Learn

Company

U.S. TikTok product interoperability and commercial activities

Culver City, California, USA

https://usdsjv.tiktok.com/

Founded in 2026

1001-5000 employees

Qualifications

Bachelor's degree or higher in Computer Science, Data Engineering, or a related quantitative field

3+ years of experience in data engineering, building production-grade real-time and offline pipelines on Big Data platforms

Strong proficiency in SQL and at least one of Python / Java / Scala / Go, with hands-on experience using distributed processing frameworks (Spark, Flink, or equivalent) and streaming systems (Kafka, Pulsar, or equivalent)

Experience operating at hyperscale on data lake / lakehouse architectures (Hudi, Iceberg, Delta) and OLAP engines (ClickHouse, Doris, Presto/Trino)

Domain experience with CDN, edge, networking, or large-scale infrastructure telemetry (access logs, RUM, NetFlow, peering data), and SRE/observability use cases such as anomaly detection and SLO analytics

Demonstrated leadership and self-direction; strong written and verbal communication skills, with a willingness to both teach others and learn new techniques

3+ years of experience in data engineering, building production-grade real-time and offline pipelines on Big Data platforms.

Required skills

SQL, Python, Java, Scala, Go, Apache Spark, Apache Flink, Apache Kafka, Data Engineering, Real-Time and Offline Data Pipelines, CDN and Edge Networking, Infrastructure Telemetry, Hudi, Apache Iceberg, Delta Lake, ClickHouse, Apache Doris, Presto/Trino, Anomaly Detection, SLO Analytics

Preferred skills

Culver City, California, USA, https://usdsjv.tiktok.com, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, 88, Represents job field similar to this job, Engineering and Development, Management and Executive, Product Management, Accounting and Finance, Sales, Legal and Compliance, Customer Service and Support, Creatives and Design, Trends of Total Sponsorships, *2026, (174), Late Stage, Total Funding, unknown, 2025-12-18, Private Equity, Recent News, IndiaTimes, 2026-07-31, Tubefilter, 2026-07-21, MarketScreener, Company data provided by

Experience

3+ years

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