Data Engineer
Remote
Job Summary
Maintain and enhance the Snowflake data platform and pipelines while leveraging AI-assisted development tools to improve efficiency and maintainability. Design, build, and optimize incremental data integration pipelines with a focus on quality, performance, scalability, and cost efficiency. Implement security controls, support audit requirements, and monitor platform usage. Collaborate with Engineering, Product, and Operations teams to deliver scalable data solutions using Snowflake, AWS, Python, Airflow, and DBT. This role requires 7+ years in data warehousing and 5+ years as a Data Engineer with hands-on experience in cloud platforms and AI-assisted coding.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field preferred
- 7+ years of experience in Data Warehousing/Database administration/Database development
- 5+ years of experience as a Data Engineer using SQL and Python
- Experience with a cloud-based tech stack on platforms such as AWS, GCP or Azure (docker or Kubernetes)
- Experience working with high volumes of data (with tooling like Snowflake, BigQuery, Redshift, DataBricks, Iceberg or similar modern column-store solution)
- Operational experience administering Snowflake (or comparable cloud data warehouse) at scale: resource monitors, warehouse sizing, RBAC, network policies, and query performance analysis
- Broad skills using ELT tools and data integration-related technologies (Airflow, DBT, python, S3, REST-API)
- Hands-on experience using AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, Cortex, or similar) in day-to-day development workflows
- Excellent knowledge of English and communication skills
- Comfortable working with distributed teams across time zones
- Able to travel occasionally both domestically and internationally
Desired Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field preferred
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