Data Engineer - Remote

Overview

Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems so companies like PUMA, Spotify, Figma, Riot Games, and Skims can create amazing digital experiences for their customers.

We are seeking a talented and experienced Data Engineer to join our growing data team at a pivotal time in our development. As a key member of our data engineering team, you'll help scale and evolve our data infrastructure to ensure Sanity can make better data-driven decisions.

This is an opportunity to work on mission-critical data systems that power our B2B SaaS platform. You'll improve our data pipelines, optimize data models, and strengthen our analytics capabilities using modern tools like Airflow, BigQuery, DBT, and RudderStack. Working closely with engineers, analysts, and business stakeholders across US and European time zones, you'll help foster a data-driven culture by making data more accessible, reliable, and actionable across the organization.

If you're passionate about solving complex data challenges, have experience scaling data infrastructure in B2B environments, and want to make a significant impact at a fast-growing company, we want to talk to you. This role offers the perfect blend of technical depth and strategic influence, allowing you to shape how Sanity leverages data to drive business success.

In Short

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Collaborate with engineering teams to implement product telemetry.
• Develop and maintain data models in BigQuery.
• Establish best practices for data ingestion and transformation.
• Orchestrate data workflows to improve efficiency.
• Work closely with data analysts and engineers to understand data needs.
• Build scalable data solutions for current and future business needs.
• Monitor and optimize data pipeline performance.
• Implement data quality frameworks and testing practices.
• Contribute to the evolution of data infrastructure.

Requirements

• 4+ years of experience building data pipelines at scale.
• Deep expertise in SQL, Python, and Node.js/TypeScript.
• Proactive mindset with attention to detail.
• Strong communication skills for collaboration across time zones.
• Production experience with Airflow and customer data platforms.
• Experience integrating data flows with CRM systems.
• Track record of building reliable data infrastructure.
• Experience implementing data quality frameworks.

Benefits

• Opportunity to evolve and scale data infrastructure.
• Work directly with engineering and product leadership.
• A highly-skilled, inspiring, and supportive team.
• Positive, flexible, and trust-based work environment.
• A global, multi-culturally diverse group of colleagues.
• Comprehensive health plans and perks.
• A healthy work-life balance.
• Competitive salary and stock options program.