Jobs Companies Sanity Data Engineer (Senior to Staff level)

About this Data Engineer (Senior to Staff level) role at Sanity

Sanity · Hybrid · San Francisco Bay Area

At Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations.

Sanity is looking for a Data Engineer (Senior to Staff level) to build and scale the data infrastructure that powers the whole company. The pipelines and services you build will directly shape how teams across Sanity work with data, and strengthen the foundation our analytics run on. You'll work closely with engineers, analysts, and business stakeholders to make data more accessible, reliable, and actionable while contributing to a culture of data excellence within our centralized Data & Analytics organization.

What you would do:

  • Architect, build, and maintain Sanity's data ecosystem: pipelines, integrations, and the warehouse, keeping data reliably ingested, transformed, and available to the teams that need it.

  • Partner with engineering teams to implement and scale product telemetry across our product surfaces.

  • Work closely with analysts, engineers, and other stakeholders to understand their data needs and build reliable pipelines that support data-driven decision-making now and as the business grows.

  • Build and maintain monitoring, alerting, and logging that give clear visibility into pipeline health, data lineage, and system performance.

  • Implement SLAs/SLOs for critical pipelines, establish incident response procedures, and develop data quality monitoring that proactively catches anomalies, schema changes, and freshness issues.

  • Build and maintain the data team's eval framework, keeping evaluation pipelines reliable and easy for the team to extend as our AI use cases grow.

  • Optimize pipeline performance and cost as data volumes grow, and help evolve our infrastructure through careful evaluation of new tools and practices.

  • Drive platform-wide engineering standards: code quality, testing frameworks, CI/CD practices, schema conventions, and documentation.

  • Create and deploy strategies to maintain data security, integrity, and regulatory compliance.

About you:

  • Based in: San Francisco, the team comes into the SF office 2 times a week

  • 5+ years of experience architecting data warehouse and pipeline infrastructure, with strong expertise in SQL and Python.

  • Fluent in dbt, workflow orchestration tools (e.g. Dagster, Airflow), and ELT/event tooling (e.g. Airbyte, RudderStack) in a fast-moving data environment.

  • Demonstrated success building and maintaining large-scale data pipelines using technologies such as Google Datastream and BigQuery.

  • Hands-on with Google Cloud Platform, including IaC tools like Terraform and cloud network infrastructure.

  • Active experience with AI-assisted development tools integrated into engineering workflows, with an eye toward scaling those practices across a team.

  • Strong organization skills to effectively manage and lead strategic projects, while prioritizing ad-hoc requests.

  • Comfortable with ambiguity, have a strong analytical acumen, self-motivated, able to work cross functionally.

  • Excellent communication skills, with the ability to work across dynamic teams and explain ideas to both technical and non-technical audiences.

What we can offer:

  • A highly-skilled, inspiring, and supportive team

  • Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth

  • A global, multi-culturally diverse group of colleagues and customers

  • Comprehensive health plans and perks

  • A healthy work-life balance that accommodates individual and family needs

  • Salary Range: $180k - $240k annually. Final compensation within this range will be determined based on the candidate’s experience and skill set.

Who we are:

Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.

 

Sanity recently raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.

You can only build a great company with a great culture. Sanity is a 200+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here!

 

Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

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How this Data Engineer salary compares

This role pays $210,000/yrbelow the typical range for Data Engineer roles.

$205,000 median $219,000 $248,750

Typical range $212,000–$229,375/yr, from 6 comparable Data Engineer listings on JobsRadar (pay annualized to USD). See Data Engineer salary insights →

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