Software Engineer, Data Platform
Build and maintain data infrastructure processing petabytes of data. Own end-to-end projects for data ingestion, transformation, and serving systems. Requires 3+ years of software engineering experience.
What You'll Be Doing
- 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 with guidance from senior engineers. From design through deployment and production support
- Collaborate with data scientists, engineers, and product teams to deliver solutions that power Discord's insights
What You Should Have
- 3+ years of software engineering experience with strong programming skills in Python, Java, Rust, Go, or similar
- Solid CS fundamentals and demonstrated ability to quickly learn new technologies and ramp up on unfamiliar systems
- Proven debugging skills and growth mindset. You seek feedback and continuously improve
- Strong collaboration skills and ability to clearly explain technical concepts to different audiences
Bonus Points
- Passion for Discord and gaming
- Experience with the data ecosystem: pipelines, ETL, modeling, or warehousing (Kafka, Spark, Flink, Airflow, Dagster, SQL, etc.)
- Cloud infrastructure knowledge (AWS, GCP, Azure) or containerization (Docker, Kubernetes)
Staff Analytics Engineer
Design and maintain a robust business data layer in dbt to enable trusted GTM sales analytics, reporting, data science, and AI capabilities. Requires 8+ years in analytics engineering with advanced SQL and dbt expertise.
Data Engineer
Own and extend customer data ingestion platform and large-scale pipelines powering AI workers. Build data lake, retrieval layer, and infrastructure for syncing, enriching, and querying customer data across CRMs and third-party systems.
Data Engineer, Machine Learning
Build and maintain production data pipelines that prepare conversational, voice, and multimodal data for ML model training and evaluation. Partner closely with ML engineers to deliver clean, versioned datasets and enforce data quality and governance.
Lead Analytics Engineer
Lead Analytics Engineer responsible for shaping data architecture, mentoring the team, and delivering end-to-end data solutions that power decisions across Product, Marketing, Operations, and Finance. Requires 7+ years experience, expert SQL, advanced dbt, and proven data architecture impact.