Hiring: Senior Data Engineer Company: Evolve Location: United States Job Posted Time: 2026-09-16 13:34:41 Employment Type: Full-time / Hybrid Target Skills & Keywords : AWS, Accessibility, Airbyte, Airflow, CI/CD, Data Lakehouse, Data Pipeline, EC2, ELT, Fivetran, Git, IAM, Iceberg, Lambda, Machine Learning, Python, S3, SQL, Snowflake, dbt About the job Experience: •6+ years in data engineering, architecture, or related technical roles working with large-scale data systems. Required Skills: •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. •Partner cross-functionally 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. Compensation: •$155,000 - $165,000 / year •This role is also eligible for a variable annual bonus based on both company and individual performance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!