Remote Data Engineer

Summary

Join our quickly growing Analytics team as an accomplished Data Engineer to expand and improve data and data pipeline architecture.

Requirements

• 2-4 years professional Data Engineering and Data warehousing experience
• Bachelor's degree is highly preferred
• Extremely strong implementation experience in Python, Parquet, Spark, Azure Databricks, Delta Lake, Databricks Data Warehouse. Databricks workflows, Delta Sharing and Unity Catalog
• SQL development knowledge – Stored procedures, triggers, jobs, indexes, partitioning, pruning etc
• Be able to write/debug complex SQL queries
• ETL/ELT and Data-warehousing techniques and best practices
• Experience building, maintaining, and scaling ETL/ELT processes and infrastructure
• Implementation experience with various data modelling techniques
• Implementation experience working with a BI visualization tool (Sisense is a plus)
• Experience with CI/CD tools (Preferred Gitlab, Jenkins)
• Experience with cloud infrastructure (Azure strongly preferred)

Responsibilities

• Design, develop, and operate large scale data pipelines to support internal and external consumers
• Improve and automate internal processes
• Integrate data sources to meet business requirements
• Write robust, maintainable, well documented code

Benefits

• Insurance coverage (medical, dental, vision, life, and disability)
• Flexible paid time off
• Paid holidays
• 401(k) plan with company match
• Remote work