Senior Data Analytics Engineer

Summary

Join Evolve, a company on a mission to simplify vacation rentals, as a Senior Data Engineer. You will be a key technical leader, building and evolving our data ecosystem. This role involves designing and optimizing data pipelines and architecture for reporting, analytics, and machine learning. You will lead initiatives focused on cost efficiency, performance, and data accessibility. The ideal candidate is passionate about modern data architecture, cloud-native infrastructure, and mentoring. Evolve offers competitive compensation and a comprehensive benefits package.

Requirements

• 8+ 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

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

Benefits

• Annual base salary range: $150,000-$160,000 depending on experience and qualifications
• This role is also eligible for a variable annual bonus based on both company and individual performance
• 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, plus infertility coverage
• Comprehensive medical, dental, and vision plans (100% employer-paid for individual enrollment), 10 free mental health visits, and pet insurance
• Generous PTO, RTO (for full-time exempt employees), sick leave, holidays, and a personal holiday to celebrate what matters most to you
• Annual Evolve travel credit after one year and discounts on stays at all Evolve properties
• World-class onboarding programs, learning, and development resources to help you grow your impact