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