Notion · San Francisco
Data Engineer, People Analytics
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, a...
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 is 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, building things that last,
and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of
Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to
making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their
life’s work.
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.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our
Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work
alongside the team during those days.
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
#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 say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to
think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still
encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected
characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction
records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter
know.
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.