Senior Data Engineer: Scale Data Pipelines for Gaming

Discord Inc.; San Francisco (CA); On-site; USD 221,000 - 245,000; Full time

Job summary

Discord is seeking Senior Data Engineers to join our world class Data team. You will own data models and end-to-end pipelines that power analytics, experiments, dashboards, and models across gaming intelligence and GRC verticals.

Work with data science and ML teams to improve instrumentation, ensure data quality at scale, and optimize performance and cost. You’ll document and share learnings to drive broad adoption.

Qualifications

• 4+ years of experience building production data pipelines.
• Strong data modeling across structured and unstructured sources.
• Proficiency in SQL and Python with maintainable, correct code.
• Experience implementing data quality checks on very large datasets.
• Track record delivering complex projects end to end.
• Clear communication and stakeholder management skills.
• Collaborative approach and curiosity.

Responsibilities

• Own data models and pipelines end to end for a functional area.
• Build foundational datasets powering analytics, modeling, experimentation, and dashboards.
• Design data architectures for massive, complex data balancing usability, performance, and cost.
• Partner with data science, ML, and engineering teams to improve instrumentation quality and reliability.
• Build data quality audits at scale with alerting and anomaly detection.
• Identify opportunities to improve pipeline and dashboard performance and cost.
• Drive adoption through documentation and enablement, sharing learnings with teammates.

Job description

Discord is seeking Senior Data Engineers to join our world class Data team. You will own data models and end-to-end pipelines that power analytics, experiments, dashboards, and models across gaming intelligence and GRC verticals.

Work with data science and ML teams to improve instrumentation, ensure data quality at scale, and optimize performance and cost. You’ll document and share learnings to drive broad adoption.