Senior Data Analytics Engineer - Remote

Overview

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.

In Short

• 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.
• 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 and scalability 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.
• Stay current on emerging technologies and bring forward recommendations for improving platform capabilities.

Requirements

• 8+ years in data engineering, architecture, or related technical roles.
• Deep experience with SQL and Python for data transformation and automation.
• Hands-on experience with modern data stack tools such as dbt, Airbyte, Fivetran, and Snowflake.
• Strong understanding of cloud technologies, particularly AWS.
• Familiarity with open data formats and scalable data lakehouse principles.
• Experience building and operating workflow orchestration tools such as Airflow.
• Knowledge of observability and monitoring frameworks.
• Comfortable working in Git-based environments with strong CI/CD practices.
• Ability to communicate technical concepts effectively.
• Demonstrated ability to mentor and collaborate across a multidisciplinary data team.

Benefits

• Industry-competitive pay, equity in the company, and a 401(k) with a 4% immediate vesting match.
• 16-18 weeks of paid parental leave for birthing parents and 10 weeks for non-birthing parents.
• Comprehensive medical, dental, and vision plans (100% employer-paid for individual enrollment).
• Generous PTO, RTO, sick leave, holidays, and a personal holiday.
• Annual Evolve travel credit after one year and discounts on stays at all Evolve properties.
• World-class onboarding programs and learning resources.
• Employee Resource Groups celebrating our diverse communities.