Senior Data Engineer

Evolve is a mission-driven company focused on making vacation rentals easier for owners and guests. The Senior Data Engineer will build and evolve scalable data ecosystems, pipelines, and architectures supporting reporting, analytics, and machine learning, while leading efforts in performance, cost efficiency, observability, and data accessibility.

Responsibilities:

• 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

Requirements:

• 6+ years in data engineering, architecture, or related technical roles working with large-scale data systems
• 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 (e.g., S3, Lambda, EC2, IAM)
• Familiarity with open data formats and scalable data lakehouse principles (e.g., Iceberg or similar)
• Experience building and operating workflow orchestration tools such as Airflow
• Knowledge of observability and monitoring frameworks to support data platform health and alerting
• Comfortable working in Git-based environments with strong CI/CD practices
• Ability to communicate technical concepts effectively to both technical and non-technical audiences
• Demonstrated ability to mentor, coach, and collaborate across a multidisciplinary data team
• All Evolve team members must live in one of our approved locations by their first day
• We can hire from anywhere in the U.S. except D.C. and Hawaii