Discord

Data Engineer

Discord$180K — $200K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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
  • Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices
  • Experience building executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar)
  • Strong business acumen to translate ambiguous business questions into concrete metric definitions and data models
  • Excellent communication skills for bridging technical and business teams

Responsibilities

  • Design, build, and maintain analytical datasets and data models for metrics, dashboards, and analyses
  • Own metric definitions from collaboration with teams to production implementation and visualization
  • Develop and sustain executive-level dashboards and self-serve reporting tools for stakeholders
  • Translate business questions into well-modeled, performant data assets in partnership with teams
  • Establish and enforce data quality standards with testing frameworks and documentation
  • Drive adoption of consistent data modeling patterns and documentation norms across the organization

Benefits

  • Working alongside passionate individuals who are committed to solving challenging problems
  • Opportunities to contribute to products that enhance online communities
  • Equity participation as part of the compensation package
  • Benefits that prioritize employee well-being and engagement
Full Job Description
Discord is looking for an experienced and passionate Data Engineer, Analytics to join our 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'll define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. If this sounds exciting to you and you're passionate about data modeling, metric design, and empowering teams to move faster with reliable data, read on!

What you will be doing:
  • 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 team to define what we should measure, 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

What you should have
  • 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 model 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, you will 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
  • Last but not least, desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

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. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

About Discord

Discord is a communication platform designed for creating communities. The platform allows users to create and join servers, which are essentially chat rooms, and communicate with other users via text, voice, and video. Discord was founded in 2015 and has grown rapidly, with over 250 million registered users as of 2019. The company has raised $480 million in total funding.
Learn more about Discord
Size
800 employees
Industry
Founded
2012

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