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HomeCompaniesDiscordStaff Data Engineer, Analytics

Staff Data Engineer, Analytics

Discord · San Francisco Bay Area · Active · $248,000–$279,000 / year · Greenhouse

Job facts

FieldValue
CompanyDiscord
TitleStaff Data Engineer, Analytics
Normalized title-
Department / teamData Science & Engineering
LocationSan Francisco, CA, United States
Work model-
Employment type-
Salary$248,000–$279,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-14 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Discord.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Data Science & Engineering.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDiscord
Sourcec7c9aff9-b399-49ec-8488-77a3d19cf7a9
ATS providerGreenhouse

Description

Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. Discord is looking for a seasoned technical leader to join our Data team as a Staff Data Engineer, Analytics. You will drive technical vision and strategy for our analytical data infrastructure, owning the transformation and semantic layer that powers clean, tested, well-documented datasets that the company can trust and self-serve from. The data you build won't just inform internal decisions, it will underpin the metrics we share with investors, partners, and the public, requiring exceptional rigor, auditability, and precision. This role works closely with Data Science, Product, Finance, and Engineering teams. What You'll Be Doing Define technical strategy and architectural direction for analytics data infrastructure, building and maintaining enterprise-scale curated datasets and data models Own metric definitions end to end, from partnering with stakeholders to define what we measure, to designing and implementing data model in production, to surfacing metrics and dimensions in dashboards and reports Design and build sophisticated data models and analytical frameworks using SQL, Python, and modern data stack technologies Develop data quality frameworks, monitoring, anomaly detection, and alerting at massive scale, with governance, lineage tracking, and change management rigor appropriate for externally reported numbers Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization Lead cross-functional technical initiatives across product verticals and mentor engineers to accelerate delivery and harden data systems Navigate ambiguity and make sound technical decisions with incomplete information, balancing short-term delivery with long-term infrastructure investment What you should have 7+ years of experience in **analytics or data engineering** with a strong focus on building curated, consumer-facing datasets 7+ years of experience in **designing, developing, and maintaining robust data models** from structured and unstructured sources Expert-level SQL and strong Python skills, with solid fundamentals in version control and CI/CD Proven experience implementing data quality audits, monitoring systems, and automated remediation for massive datasets Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar) Strong business acumen and communication skills, comfortable translating ambiguous business questions into concrete metric definitions and explaining complex implementations to audiences from engineering peers to executive leadership Track record of hands-on collaboration with Data Science, Finance, and Product 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 defining and governing metric standards across a data organization Experience with reporting infrastructure subject to external audit or SOX compliance The US base salary range for this full-time position is $248,000 to $279,000 + 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. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.

Full job record

Job ID76059ef8af976b59b7b091a8bd7fb4ebfa8ea280
Org ID2775eb94-8ba9-4515-bea3-e47f460bcc6f
Source IDc7c9aff9-b399-49ec-8488-77a3d19cf7a9
Board IDc7c9aff9-b399-49ec-8488-77a3d19cf7a9
Providergreenhouse
Provider Job Key8485884002
TitleStaff Data Engineer, Analytics
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco Bay Area
DepartmentData Science & Engineering
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionCA
CitySan Francisco
Salary Rawsalary range for this full-time position is $248,000 to $279,000 + equity + benefits
Salary Min248,000
Salary Max279,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/discord/jobs/8485884002
Apply URLhttps://job-boards.greenhouse.io/discord/jobs/8485884002
First Seen At2026-05-29 22:42:43Z
Last Seen At2026-06-06 07:35:10Z
Last Checked At2026-06-06 07:35:10Z
Last Changed At2026-05-29 22:42:43Z
Inactive At
Source Posted At2026-05-14 16:00:25Z
Source Updated At2026-05-14 16:03:08Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=discord/date=2026-06-06/2026-06-06T07-35-10-138Z-7e5b76f98ce21f6455497d92bd1c2aad6a7ac986be8288fe73b3a07db9e0ae45.json
Event Fields
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  "last_changed_at": "2026-05-29T22:42:43.171Z",
  "active_status": "active"
}
Parsed Structured
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    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
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    "confidence": 0.9
  },
  "salary_max": 279000,
  "salary_min": 248000,
  "inferred_at": "2026-06-06T07:35:10.340Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
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      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": false,
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    "countries": [
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  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": null,
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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      "location": "San Francisco, California, United States",
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  "language": "en",
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  "metadata": [
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      "id": 4105571002,
      "name": "Featured on Website",
      "value": [],
      "value_type": "multi_select"
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      "value": null,
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  ],
  "updated_at": "2026-05-14T12:03:08-04:00",
  "departments": [
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      "name": "Data Science & Engineering",
      "child_ids": [],
      "parent_id": 4094266002
    }
  ],
  "company_name": "Discord",
  "requisition_id": 6389572002,
  "first_published": "2026-05-14T12:00:25-04:00",
  "application_deadline": null
}
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