Senior Data Platform Engineer - Gaming Analytics at Scale

Discord; California (MO); On-site; USD 196,000 - 245,000; Full time

Job summary

Discord is building the next generation Data Platform to power decisions for one of the most vibrant platforms in the world. We seek a senior engineer to design, implement, and operate data infrastructure across millions of users, collaborating with data scientists and product teams.

You will own end-to-end data projects, implement robust ingestion, transformation, and serving pipelines, and mentor teammates to raise the team's technical bar.

Qualifications

• 5+ years of software engineering experience with strong programming skills in Python, Java, Rust, Go, or similar.
• Hands-on experience building or operating data infrastructure like pipelines, streaming systems, orchestration, or data warehousing at scale (BigQuery, Kafka, Spark, Flink, Airflow, Dagster, or similar).
• Proven track record of delivering complex, multi-phase projects autonomously, with edge cases, failure modes, and scale considerations.

Responsibilities

• Build and maintain data infrastructure processing petabytes of data across millions of users.
• Write clean, well-tested code for data ingestion, transformation, and serving systems.
• Own projects end-to-end from design through deployment and production support.
• Collaborate with data scientists, engineers, and product teams to deliver solutions that power Discord's insights.
• Apply 80/20 thinking to challenge requirements, cut unnecessary complexity, and deliver the optimal solution at the right time.
• Mentor teammates through code reviews, RFCs, and shared technical knowledge.

Skills

Python

Java

Rust

Go

data pipelines

data orchestration

Tools

BigQuery

Kafka

Spark

Flink

Airflow

Dagster

Job description

Discord is building the next generation Data Platform to power decisions for one of the most vibrant platforms in the world. We seek a senior engineer to design, implement, and operate data infrastructure across millions of users, collaborating with data scientists and product teams.

You will own end-to-end data projects, implement robust ingestion, transformation, and serving pipelines, and mentor teammates to raise the team's technical bar.