Home › Companies › Notion › Data Engineer, People Analytics
Data Engineer, People Analytics
Notion · San Francisco, California · Hybrid · Active · $213,000–$250,000 / year · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Notion |
| Title | Data Engineer, People Analytics |
| Normalized title | - |
| Department / team | Engineering / Engineering |
| Location | San Francisco, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $213,000–$250,000 / year |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Notion. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Notion |
| Source | 38b09c40-07ca-4f50-9d2c-8b53e6be1ca8 |
| ATS provider | Ashby |
Description
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work feels faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, humanity, and building things that last — not just shipping the next feature, but setting a standard for how modern teams (with humans and agents working together) think and execute.
About The Role As Notion scales, there is a unique opportunity to build the data foundations for People Analytics that enable better decisions around hiring, performance, compensation, and org design - while maintaining strong privacy guarantees for sensitive employee data.
In this role, you will design, build, and operate scalable data systems and pipelines that power People data. Your work will ensure that employee data is reliable, secure, and production-ready, enabling both analytics and AI-driven people workflows across the company
What You'll Achieve Partner closely with the Chief People Officer and People leadership team to translate strategic questions into clear metrics and data products that inform workforce planning, organization design, performance reviews, compensation discussions, and executive reporting
Define and build ETL/ELT pipelines and infrastructure to ingest and standardize data from HRIS and adjacent systems such as Workday, ATS, payroll, benefits, performance platforms, creating a reliable source of truth for headcount, org structure, hiring, attrition, and talent health
Design privacy-first data architecture, including access controls, PII handling, and governance standards
Implement data quality, testing, and observability systems to ensure sensitive employee data is accurate and trustworthy
Design privacy-aware data models, transformations, semantic layers, and quality checks so sensitive employee data is accurate, timely, well-documented, and governed appropriately with role-based access controls for decision-making and makes AI-powered people tools and automations reliable enough to ship to production
Partner with People Analytics to translate ambiguous requirements into scalable datasets, dashboards, and self-serve data products that give People leaders, People Partners, and managers visibility into workforce trends while reducing manual overhead.
Skills You'll Need to Bring 6+ years of experience in analytics engineering, data engineering, people analytics, or a closely related role, with a track record of building trusted datasets and systems for business decision-making
Hands-on experience working with HRIS and adjacent People systems data (for example Workday, ATS (Ashby), payroll, benefits, performance, or engagement platforms) and know how to reconcile definitions across messy, evolving source systems
Proficiency in SQL and data modeling, and can build production-grade transformations, define durable metric logic, and write performant queries against large analytical datasets
Proficiency in Python (or similar OOP languages) for building data pipelines, automation, and infrastructure
Experience designing systems with data quality, testing, monitoring, and SLAs in mind
Experience with modern data tooling and cloud warehouses such as Snowflake, dbt, Airflow, Fivetran, or similar technologies, along with strong instincts around testing, monitoring, and data quality
Excellent judgment with sensitive and confidential data, and can implement infrastructure and tooling for data privacy, access controls, governance, and thoughtful interpretation of people metrics
Effectiveness in partnering directly with the CPO, People Partners, Finance, and business leaders to turn ambiguous questions into scoped solutions and clearly communicated insights
Ability to leverage AI and agent-based tools to accelerate development, while defining guardrails for safe, production-grade data workflows
Nice to Haves You have worked at a fast-growing start-up, a SaaS company or are eager to contribute in such an environment (being a current Notion user would be great!)
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $213,000 to $250,000
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite
A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we’ll make it explicit in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively.
Equal Opportunity & Accommodations We hire talented and passionate people from a variety of backgrounds because we want our teams to reflect the wide diversity of our customers. If you’re excited about a role but your experience doesn’t align perfectly with every bullet point listed, we still encourage you to apply.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Full job record
| Job ID | 510967dac2287d265a34aa899bbb3d11c500b96c |
| Org ID | 31de3c82-8294-4357-9b8c-814f5e30516d |
| Source ID | 38b09c40-07ca-4f50-9d2c-8b53e6be1ca8 |
| Board ID | 38b09c40-07ca-4f50-9d2c-8b53e6be1ca8 |
| Provider | ashby |
| Provider Job Key | a1216dba-e175-4a3d-b712-401c9fbdcd92 |
| Title | Data Engineer, People Analytics |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco, California |
| Department | Engineering |
| Team | Engineering |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | salary range for this role is $213,000 to $250,000 By clicking “Submit Application”, I understand and agree that Notion and its af |
| Salary Min | 213,000 |
| Salary Max | 250,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.ashbyhq.com/notion/a1216dba-e175-4a3d-b712-401c9fbdcd92 |
| Apply URL | https://jobs.ashbyhq.com/notion/a1216dba-e175-4a3d-b712-401c9fbdcd92/application |
| First Seen At | 2026-05-29 05:58:24Z |
| Last Seen At | 2026-06-06 19:56:24Z |
| Last Checked At | 2026-06-06 19:56:24Z |
| Last Changed At | 2026-05-29 05:58:24Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=notion/date=2026-06-06/2026-06-06T19-54-59-004Z-d8396bc80f91684ffb46ccba18cce1da05a6edaea4005ebb09e2cc1f6baca945.json |
Event Fields
{
"content_hash": "e455cf6fbbb7dd0c9ff9c17fec66d848a931419ba699fd58a44c61e49df5c583",
"source_hash": "87578a28c55807d266f6a2262a87fba19d8dba42038159c00bd8330720e09ac0",
"last_changed_at": "2026-05-29T05:58:24.281Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "San Francisco, California",
"city": "San Francisco",
"region": "CA",
"country": "United States",
"is_remote": false,
"confidence": 0.85
},
"salary_max": 250000,
"salary_min": 213000,
"inferred_at": "2026-06-06T19:56:24.007Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "San Francisco, California",
"city": "San Francisco",
"region": "CA",
"country": "United States",
"is_remote": false,
"confidence": 0.85
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": "year",
"workplace_type": "hybrid",
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"id": "a1216dba-e175-4a3d-b712-401c9fbdcd92",
"team": "Engineering",
"title": "Data Engineer, People Analytics ",
"jobUrl": "https://jobs.ashbyhq.com/notion/a1216dba-e175-4a3d-b712-401c9fbdcd92",
"address": null,
"applyUrl": "https://jobs.ashbyhq.com/notion/a1216dba-e175-4a3d-b712-401c9fbdcd92/application",
"isListed": true,
"isRemote": false,
"location": "San Francisco, California",
"updatedAt": null,
"apiVersion": "ashby-non-user-graphql-v1",
"department": "Engineering",
"publishedAt": null,
"workplaceType": "Hybrid",
"employmentType": "FullTime",
"secondaryLocations": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/510967dac2287d265a34aa899bbb3d11c500b96c?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/31de3c82-8294-4357-9b8c-814f5e30516dJSONGET https://api.bluedoor.sh/job-postings/v1/sources/38b09c40-07ca-4f50-9d2c-8b53e6be1ca8JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/510967dac2287d265a34aa899bbb3d11c500b96c/eventsJSON