Staff Data Engineer

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: $190K - $230K

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.

Requirements

• 5+ years of experience building and maintaining data infrastructure at scale
• Fluency in modern data tools and cloud-native ecosystems (e.g., dbt, Airflow, Snowflake/BigQuery, Kafka, Spark, etc.)
• Experience designing dimensional data models and optimizing warehouse performance
• Experience partnering closely with analytics, product, or ML teams to deliver clean, reliable, well-documented data

Responsibilities

• Play a key role in shaping the vision, architecture, and implementation of Kindred’s 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.

Application Instructions

• (Information missing - Please refer to Kindred's career page for specific application instructions.)