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Staff Data Engineer

Kindred is a members-only home swapping network that unlocks the ability to live a travel-rich lifestyle through the power of community. By exchanging primary residences with trusted peers, renters and owners alike can match with Kindred spirits and explore new destinations without breaking the bank.

We are on a mission to build a sharing economy that lives up to the name, and we’ve raised significant capital from some of the best investors in Silicon Valley, including Index Ventures, Andreessen Horowitz, New Enterprise Associates, Bessemer Venture Partners, Caffeinated Capital, Elad Gil, and the founders of Opendoor, Figma, ClassPass, Clubhouse, Divvy, Gem, and Homebound.

The co-founders are proven leaders from the early team at proptech company Opendoor ($15B+ exit) and have each separately built and scaled products that today do $1B+ annual revenue combined.

We’re looking for the world’s top builders, executors, and believers to join us on this ride.

You can learn more about us in Forbes and TechCrunch.


The Role:

We’re looking for a world-class data engineer with deep experience in building scalable data infrastructure to join us at the ground floor.

You’ll be one of the earliest members of our data engineering team, shaping the foundation of Kindred’s data platform. This is an opportunity to build an iconic consumer product and a category-defining business that reshapes how people travel.

You Will:

  • Play a key role in shaping the vision, architecture, and implementation of our end-to-end data infrastructure

  • Partner with engineering, product, and business leaders to understand data needs and influence the long-term data architecture

  • Build scalable, reliable data pipelines that support analytics, operations, and product experiences

  • Design and implement efficient batch and real-time data flows to power reporting, insights, and automation

  • Collaborate with software engineers to instrument key events and ensure data is captured cleanly and consistently

  • Develop well-modeled, intuitive data layers that make it easy for others to query and consume data

  • Implement quality checks, monitoring, and alerts to ensure trust in the data

  • Continuously optimize pipelines and workflows for performance, cost, and maintainability

  • Play a key role in growing our data engineering capabilities as we scale — including mentoring others and setting foundational practices

  • Contribute to incident response and support rotational coverage when needed to maintain data uptime and reliability

You may be a right fit for this role if you:

  • Have 5+ years of experience building and maintaining data infrastructure at scale

  • Are fluent in modern data tools and cloud-native ecosystems (e.g. dbt, Airflow, Snowflake/BigQuery, Kafka, Spark, etc.)

  • Have experience designing dimensional data models and optimizing warehouse performance

  • Have partnered closely with analytics, product, or ML teams to deliver clean, reliable, well-documented data

  • Have built data platforms from the ground up or been a key contributor in a high-growth startup environment

  • Are pragmatic and quality-driven — you know when to ship scrappy and when to build for scale

  • Are excited about working cross-functionally to turn ambiguous business problems into concrete data solutions

  • Thrive in early-stage environments with high ownership, autonomy, and rapid change

  • Are motivated by building elegant systems that empower others — not just crunching numbers

  • Come to work with curiosity, humility, and a collaborative spirit

Our Benefits:

At Kindred, we know that good things happen when we look out for one another. We offer our employees the following benefits:

  • Our opening spans more than one career level. The base salary offered depends on many factors, such as work experience, transferable skills, business needs and impact, and market demands.

  • A vibrant, inclusive, and highly skilled team that ferociously protects team chemistry

  • A culture of championship (vs. just mentorship), feedback, and continual development

  • Competitive cash compensation and equity

  • Comprehensive health benefits

  • Flexible vacation policy

  • Unlimited credits to stay at Kindred homes during your time as an employee

  • $4,000 annual travel stipend to use toward travel costs to stay at a Kindred home

  • Remote-flexible work environment. We encourage team members to travel and adventure, including working from Kindred HQ in San Francisco!

  • Regular offsites to co-locate with the team

We are committed to providing equal employment opportunities for all applicants and employees. Kindred does not discriminate on the basis of any protected characteristic, including race, color, ancestry, national origin, religion, creed, age, disability, sex, gender, sexual orientation, gender identity, gender expression, medical condition, genetic information, family care or medical leave status, marital status, domestic partner status, military and veteran status, or any other characteristic protected by US federal, state or local laws, or the laws of the country or jurisdiction where you work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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What You Should Know About Staff Data Engineer, Kindred

At Kindred, we’re transforming how people experience travel through our innovative home swapping platform. We're looking for a talented Staff Data Engineer to join us on this exciting journey as a pivotal player in our data engineering team. With your expertise in building scalable data infrastructure, you will play a crucial role in shaping the vision and architecture of our end-to-end data systems. Imagine being at the forefront of creating a product that empowers people to connect and share their homes, making travel more accessible and enriching. At Kindred, you'll work alongside a vibrant and dedicated crew, collaborating with engineering, product, and business leaders to ensure we’re meeting our data needs effectively. Your day-to-day will involve designing efficient data flows, building reliable pipelines, and ensuring data integrity through quality checks. We pride ourselves on fostering an environment full of curiosity and continuous learning, which means you'll also have the chance to mentor and grow as the company scales. If you have a proven track record of creating data platforms in a dynamic startup atmosphere, and if you thrive in a culture that values ownership and innovation, we want to hear from you! Join Kindred and help redefine the travel experience while enjoying a host of benefits, including unlimited stays at our homes, travel stipends, and a flexible working environment.

Frequently Asked Questions (FAQs) for Staff Data Engineer Role at Kindred
What are the responsibilities of a Staff Data Engineer at Kindred?

As a Staff Data Engineer at Kindred, your responsibilities will include designing and building scalable data infrastructures, developing reliable data pipelines for analytics and operations, collaborating with cross-functional teams to understand their data needs, and implementing quality checks to ensure trust in data. You’ll be integral in shaping the long-term data architecture and mentoring new team members as we grow.

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What qualifications do I need to apply for the Staff Data Engineer position at Kindred?

To be a strong candidate for the Staff Data Engineer role at Kindred, you should have at least 5 years of experience in building and maintaining large-scale data infrastructure. Familiarity with modern data tools like dbt, Airflow, Snowflake, and Kafka is essential. Experience working closely with analytics or ML teams and a proven ability to turn complex business problems into data solutions will also set you apart.

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What tools and technologies will I use as a Staff Data Engineer at Kindred?

At Kindred, you’ll utilize a variety of modern data tools and cloud-native ecosystems such as dbt, Airflow, Snowflake, BigQuery, Kafka, and Spark. Your expertise in these technologies will be essential for designing efficient data models and optimizing data warehouse performance to provide reliable insights.

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What is the work culture like for Staff Data Engineers at Kindred?

The work culture at Kindred is vibrant, inclusive, and driven by continuous development and feedback. As a Staff Data Engineer, you'll enjoy a high degree of ownership and autonomy, working in an early-stage environment that encourages innovation, collaboration, and curiosity. We actively promote a team chemistry that feels supportive while allowing individuals to flourish.

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What benefits does Kindred offer to its Staff Data Engineers?

Kindred offers a comprehensive benefits package including competitive cash compensation and equity, comprehensive health benefits, a flexible vacation policy, unlimited stays at Kindred homes while employed, and a generous annual travel stipend. Additionally, our remote-flexible work environment encourages team members to travel and explore the world, integrating personal experiences into their work.

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Common Interview Questions for Staff Data Engineer
Can you describe your experience with building data pipelines?

When answering this question, focus on specific projects where you designed and developed data pipelines. Discuss the tools you used and the challenges you faced, highlighting how you optimized these pipelines for performance and reliability.

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How do you ensure data quality in your work?

Explain your approach to implementing data quality checks, monitoring, and alerts. Provide examples of how you’ve addressed data integrity issues in the past, emphasizing your proactive strategies to ensure trust in the data generated.

Join Rise to see the full answer
What modern data tools are you proficient in, and how have you used them?

List the modern data tools you are experienced with, such as dbt or Airflow, and describe how you've applied them in past projects. Highlight the impact these tools had on the efficiency and effectiveness of your data solutions.

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How do you handle collaboration with product and engineering teams?

Discuss your communication strategies for working with cross-functional teams. Provide examples of how understanding business needs has shaped your data solutions in previous roles, emphasizing your collaborative mindset.

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What approaches do you take to optimize data workflows?

Share your systematic approach to evaluating data workflows for efficiency and cost-effectiveness. Include an example where you improved performance, detailing the impact on the broader data ecosystem.

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Can you describe a challenging data engineering project you've worked on?

Choose a specific project that posed challenges, explaining the complexity and your role. Highlight how you approached problem-solving and what the outcomes were, showcasing your ability to navigate difficult scenarios.

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How would you prioritize tasks in a high-growth startup environment?

Discuss how you assess urgency versus importance when prioritizing tasks, especially in a fast-paced environment. Share your tactics for staying organized and ensuring crucial projects are completed efficiently.

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How do you stay updated with new developments in data engineering?

Share your strategies for continuous learning in the data engineering field, whether through online courses, conferences, or community involvement. Emphasize your commitment to keeping your skills sharp and relevant.

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What do you consider when designing dimensional data models?

Explain the key principles you consider when designing dimensional data models, such as performance optimization and ease of querying. Provide examples of how your designs have supported successful data analyses.

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Why are you excited about working at Kindred as a Staff Data Engineer?

Show your enthusiasm for Kindred’s mission and the unique culture. Connect your skills and interests to how you can contribute to the company's goals, highlighting your passion for building innovative data solutions to enhance travel experiences.

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DATE POSTED
April 3, 2025

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