Data Engineer

Data Engineer

Location: Orlando, FL (Hybrid – 1 day onsite, 4 days remote)

Duration: 3-6+ month contract

Role Overview

We are seeking a Data Engineer to support the Finance and BI teams by automating and optimizing data pipelines within a Snowflake environment. The role will focus on converting manually executed SQL processes into scalable, scheduled workflows using Azure Data Factory (ADF) , ensuring reliable and efficient data delivery across critical reporting systems.

Key Responsibilities

Design, build, and maintain ADF pipelines to orchestrate and automate data workflows.

Convert existing manual SQL/Snowflake processes into scheduled, production‑ready jobs.

Integrate and manage data flows between Epic Clarity , Snowflake , and Azure environments.

Modify and optimize Snowflake tables and queries to meet evolving business needs.

Collaborate with BI and Finance teams to support reporting and analytics requirements.

Ensure pipeline performance is scalable, reliable, and efficient .

Required Skills

Strong proficiency in SQL and data engineering fundamentals.

Hands‑on experience with Snowflake (tables, queries, optimization).

Expertise in Azure Data Factory (ADF) – pipeline creation, scheduling, orchestration.

Experience working in Azure cloud environments .

Familiarity with Epic Clarity (Epic’s SQL‑based reporting database).