Role: Data Engineer
Location: Onsite 1 day a week. 4 days remote - Orlando, FL
Duration: 6+ Months
Description:
Must have tech stack: Strong SQL, Azure Data Factory (ADF), Snowflake, Epic Clarity (Epic’s reporting database (SQL-based))
We are looking for a Data Engineer to support a finance and BI team by automating existing data pipelines built on Snowflake. This role will focus on taking manually executed SQL processes and converting them into scalable, scheduled workflows using Azure Data Factory (ADF).
Key Responsibilities:
·Build and maintain ADF pipelines to orchestrate and automate data workflows
·Convert existing manual SQL/Snowflake processes into scheduled jobs
·Integrate and manage data flows between Epic Clarity, Snowflake, and Azure
·Modify and optimize Snowflake tables and queries as business needs evolve
·Collaborate with BI and Finance teams to support reporting and data requirements
·Ensure reliable, scalable, and efficient data pipeline performance
Required Skills:
·Strong SQL and data engineering fundamentals
·Hands-on experience with Snowflake
·Experience with Azure Data Factory (ADF) (pipeline creation, scheduling, orchestration)
·Experience working in Azure cloud environments
·Experience with Epic Clarity (Epic’s reporting database (SQL-based))
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