About this role
Data Engineer
Remote, United States
req11449
In this role you will…
- Build, harden, and enhance enterprise data applications using technologies such as Snowflake, Streamlit, Python, SQL, and modern web frameworks.
- Improve the frontend experience, usability, performance, accessibility, and production readiness of internal data and AI applications.
- Translate business requirements into intuitive, scalable data products.
- Partner with Data Engineers, BI Developers, Technical Leads, and business stakeholders from discovery through production.
- Develop and maintain SQL transformations, reusable data models, and curated datasets.
- Build and enhance ELT/ETL workflows and data pipelines as your ownership of the data engineering stack grows.
- Use AI-assisted development tools to accelerate application development, testing, documentation, troubleshooting, and engineering workflows.
- Integrate APIs, enterprise data sources, AI services, and Snowflake capabilities into production applications.
- Implement application and data controls including authentication, authorization, role-based access, data quality, and security.
- Participate in architecture reviews, code reviews, testing, deployment, and engineering standards.
- Monitor and optimize application, query, and pipeline performance.
- Prototype new AI and data capabilities and help transition successful experiments into supported production solutions.
- Continuously expand your capabilities across Snowflake, dbt, orchestration, data modeling, observability, and enterprise data engineering.
You have what it takes if you have…
- 3+ years of strong SQL skills and experience working with relational databases and structured da