Senior Data Engineer

About the role

At Evolve, we’re on a mission to make vacation rental easy for everyone. Our high-performing, customer-obsessed team runs on curiosity, communication, and accountability—working together to create exceptional experiences for our owners and guests. Whether solving big challenges, delivering outstanding results, or celebrating wins, we approach every day with purpose and passion. If you’re ready to join a mission-driven company where every teammate has the opportunity to thrive, Evolve might just be the place for you.

Why This Role

At Evolve, data powers every aspect of how we transform the vacation rental industry. From optimizing guest experiences to enabling smarter homeowner engagement, our data platform supports scalable decision-making, operational excellence, and future-forward innovation.

As a Senior Data Engineer, you'll be a key technical leader responsible for building and evolving our data ecosystem. You'll help design and optimize pipelines and architecture that support core reporting, analytics, and machine learning workloads, while also leading initiatives focused on cost efficiency, performance, and data accessibility.

This role is ideal for an engineer who is passionate about modern data architecture, cloud-native infrastructure, and mentoring others while delivering high-impact systems that make data a true asset.

What You'll Do

- Serve as a senior technical contributor helping shape the design of scalable, modular, and performant data systems.

- Partner with cross-functional teams to design and deliver reliable data pipelines for analytics, reporting, and data science use cases.

- Develop and optimize ELT workflows using modern tools such as Airbyte, Fivetran, dbt, and Python.

- Design and maintain performant data models in Snowflake, including star schemas and other dimensional modeling techniques that support clean, well-structured, and easily consumable datasets - including those optimized for AI tools and text-to-SQL interfaces.

- Lead efforts to improve data observability, including proactive alerting, monitoring, and incident response capabilities.

- Explore and implement open table formats (e.g., Apache Iceberg) to enable flexibility, scalability, and interoperability across data systems.

- Collaborate with DevOps and Cloud teams to ensure our AWS-based infrastructure is optimized for performance, cost, and reliability.

- Establish and maintain engineering best practices, including version control, code reviews, CI/CD pipelines, and automated testing.

- Act as a mentor to other engineers and analytics professionals, fostering knowledge sharing and high standards for quality and consistency.

- Stay current on emerging technologies and bring forward recommendations for improving platform capabilities, performance, or efficiency.

What Makes You a Great Fit

- 6+ years in data engineering, architecture, or related technical roles working with large-scale data systems.