Data Engineer

Discord is looking for an experienced and passionate Data Engineer, Analytics to join its data team.

You will be owning the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self-serve from.

You will define and operationalize the metrics that inform how Discord identifies opportunities, measures success, and makes decisions.

Responsibilities

• Design, build, and maintain curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses
• Own metric definitions end to end, from partnering with data science and product teams to define what should be measured, to implementing it in production, to surfacing it in visualization tools
• Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions
• Partner closely with data science, product manager, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets
• Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for the datasets you own
• Drive adoption of consistent data modeling patterns, naming conventions, and documentation norms across the data organization

Requirements

• 3+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets
• 3+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
• 3+ years of experience writing accurate and effective code in SQL
• Experience with designing data models to power a variety of use cases, including experimentation
• Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices
• Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar)
• Strong business acumen, with the ability to partner with data scientists and product managers to translate ambiguous business questions into concrete metric definitions and data models
• Excellent communication, comfortable being the connective tissue between technical and business teams

Bonus Points

• Passion for Discord or online communities
• Experience building or contributing to a semantic layer or metrics store
• Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar)
• Experience working on monetization and/or subscription products

The US base salary range for this full-time position is $180,000 to $200,000 + equity + benefits.