Senior Data Engineer
Evolve, Remote - US
What you will 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.