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Senior Data Engineer

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.

What will you do:

Data Infrastructure & ETL Development

  • Design, develop, and maintain scalable ETL/ELT pipelines to ensure data is efficiently processed, transformed, and made available across the company.

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

  • Develop and maintain data models in BigQuery that balance performance, cost, and usability.

  • Establish best practices for data ingestion, transformation, and orchestration, ensuring reliability and efficiency.

  • Orchestrate data workflows to reduce manual effort, improve efficiency, and maintain high data quality standards.

Collaboration & Cross-Team Partnerships

  • Work closely with data analysts, engineers, and other internal stakeholders to understand their data needs and design robust pipelines that support data-driven decision-making.

  • Build scalable and flexible data solutions that address both current business requirements and future growth needs.

  • Partner with engineering, growth, and product teams to enhance data accessibility and usability.

Continuous Improvement & Scalability

  • Monitor and optimize data pipeline performance and costs as data volumes grow.

  • Implement and maintain data quality frameworks and testing practices.

  • Contribute to the evolution of our data infrastructure through careful evaluation of new tools and technologies.

  • Help establish data engineering best practices that scale with our growing business needs.


About you:

  • Remote in the United States/Canada or onsite in San Francisco.

  • 4+ years of experience building data pipelines at scale, with deep expertise in SQL, Python, and Node.js/TypeScript for data engineering workflows.

  • Proactive mindset with exceptional attention to detail, particularly in maintaining comprehensive documentation and data lineage.

  • Strong communication skills with demonstrated ability to collaborate effectively across US and European time zones.

  • Production experience with workflow orchestration tools like Airflow, and customer data platforms like RudderStack, ideally in a B2B SaaS environment.

  • Proven experience integrating and maintaining data flows with CRM systems like Salesforce, Marketo, or HubSpot.

  • Track record of building reliable data infrastructure that supports rapid business growth and evolving analytics needs.

  • Experience implementing data quality frameworks and monitoring systems to ensure reliable data delivery to stakeholders.

Nice to have:

  • Experience with product analytics tools like Amplitude, Mixpanel, or PostHog.

  • Experience with Google Cloud Platform and BigQuery.

Not sure you’re exactly what we’re looking for in this role? Apply anyway!


What we can offer:

  • Opportunity to evolve and scale our data infrastructure to support rapid company growth

  • Work directly with engineering and product leadership to drive and execute on the company's data strategy

  • 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

  • Competitive salary and stock options program

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.

Backed by Netlify, Vercel, the founders of Twitter and Medium, Heroku’s ex-CEO, and leading VCs like ICONIQ Growth, Threshold Ventures, and Lead Edge Capital, Sanity is at the epicenter of the modern digital product development stack.

You can only build a great company with a great culture. Read about our values and join us in building a diverse and inclusive team.

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, citizenship, marital status, disability, or gender identity.

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What You Should Know About Senior Data Engineer, Sanity

Sanity.io is on the lookout for a Senior Data Engineer to join our dynamic team in Atlanta at an exciting juncture of our growth! As a pivotal member of our data engineering crew, you'll play a key role in shaping our data infrastructure. We're all about being data-driven at Sanity, and we want you to help us take it to the next level! Your responsibilities will encompass creating, maintaining, and optimizing scalable ETL/ELT pipelines that ensure data is efficiently processed and available across various departments. You'll get hands-on with modern tools like Airflow, BigQuery, and RudderStack, enhancing our analytics capabilities while collaborating with both US and European teams. Additionally, this role allows you to dive deep into data modeling and establish best practices for data management. Are you passionate about tackling complex data challenges and making impactful contributions in a fast-paced B2B SaaS environment? If so, we want to hear from you! At Sanity.io, we’re dedicated to building a culture that emphasizes collaboration, innovation, and continuous improvement, providing a perfect balance of technical depth and strategic influence. Join us, and let's make data a cornerstone of our success together!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Sanity
What are the main responsibilities of a Senior Data Engineer at Sanity.io?

As a Senior Data Engineer at Sanity.io, your primary responsibilities will include designing, developing, and maintaining scalable ETL/ELT pipelines. You will collaborate closely with other teams to implement product telemetry and work on enhancing data accessibility. Additionally, you will establish data quality frameworks and best practices for data management to support decision-making across the organization.

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What skills are required to become a Senior Data Engineer at Sanity.io?

To qualify for the Senior Data Engineer position at Sanity.io, candidates should have 4+ years of experience in building data pipelines, with proficiency in SQL and Python, as well as knowledge of data workflow orchestration tools like Airflow. Experience with CRM systems integration, data quality frameworks, and cloud platforms, particularly Google Cloud Platform and BigQuery, is also crucial.

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What tools and technologies will I work with as a Senior Data Engineer at Sanity.io?

In the role of Senior Data Engineer at Sanity.io, you will work with a variety of modern tools and technologies such as Airflow for workflow orchestration, BigQuery for data modeling, RudderStack for customer data platform needs, and established frameworks to implement and maintain data quality. Your role will significantly influence our data infrastructure's scalability and efficiency.

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How does Sanity.io support the professional growth of its Senior Data Engineers?

Sanity.io is committed to fostering a positive and flexible work environment for all its employees. As a Senior Data Engineer, you will have opportunities to work directly with engineering and product leadership to drive the company's data strategy, participate in continuous learning initiatives, and grow both professionally and personally in your role.

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What is the work culture like for a Senior Data Engineer at Sanity.io?

The work culture at Sanity.io emphasizes trust, collaboration, and inclusivity. As a Senior Data Engineer, you will be part of a diverse and highly skilled team dedicated to building an inspiring work environment. The company values the contributions of every employee, promoting a healthy work-life balance and the importance of employee well-being.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with ETL/ELT pipelines and tools?

In preparing for this question, reflect on specific projects you’ve worked on where you’ve designed or maintained ETL/ELT pipelines. Discuss the tools you’ve used, such as Airflow or any other orchestration tools, and share challenges you faced along with how you overcame them. Demonstrating a solid understanding of data processing and transformation will showcase your expertise.

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How do you ensure data quality in your engineering processes?

To respond effectively, discuss strategies you've implemented to maintain data quality, such as data validation checks, regular audits, and a comprehensive framework for monitoring. Providing examples of how you’ve tackled data quality issues in previous roles can illustrate your proactive mindset and attention to detail.

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What best practices do you follow when developing data models?

When answering, emphasize the importance of balancing performance, cost, and usability. Discuss methods like documenting data lineage, ensuring reproducibility, and conducting peer reviews. Sharing specific examples from your experience can help convey your strategic thinking and familiarity with data modeling principles.

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Describe a challenging data-related problem you solved.

In answering this question, choose a significant challenge that required innovative thinking. Clearly outline the problem, the steps you took to analyze it, the solution you implemented, and the impact it had on the business. This example will not only demonstrate your problem-solving skills but also your ability to add value to an organization like Sanity.io.

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How do you communicate technical data concepts to non-technical team members?

To assess your collaborative skills, provide examples of how you've simplified complex data concepts in previous roles. You might mention techniques such as using visualization tools, analogies, or presentations. Highlighting your strong communication skills will show your potential to work cross-functionally at Sanity.io.

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What experience do you have with integrating data from various sources?

Here, it’s vital to discuss your experience integrating data from platforms like Salesforce, Marketo, or other systems. Describe the processes you followed, the challenges encountered, and how data consistency and quality were maintained throughout the integration. This shows your practical understanding of data flows.

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How do you approach monitoring pipeline performance?

In your response, outline the key metrics you focus on, such as latency, error rates, and throughput. Discuss tools you’ve utilized for monitoring, and any experiences with troubleshooting performance issues, emphasizing the importance of proactive management of data pipelines.

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Can you explain your experience with cloud platforms like Google Cloud Platform?

Prepare to discuss your familiarity with Google Cloud Platform’s services relevant to data engineering, like BigQuery and Cloud Functions. Share any projects where you utilized these platforms, the results achieved, and insights gained from working in a cloud environment, which is essential for the role at Sanity.io.

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What steps would you take to evolve a data infrastructure?

In your answer, share your approach to assessing current infrastructure's strengths and weaknesses. Discuss how you would evaluate new tools and technologies while ensuring alignment with business goals. Clearly articulating a strategic vision can demonstrate your foresight and commitment to continuous improvement.

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How do you stay updated with new technologies and trends in data engineering?

Show your enthusiasm for continuous learning by mentioning resources, like industry blogs, webinars, or community events where you keep your skills sharp. Discuss the importance of networking with other professionals and experimenting with new tools in your personal projects to demonstrate your proactive approach to professional development.

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EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
February 14, 2025

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