Junior Data Engineer – Azure Databricks / Python / Spark

**Role:** Data Engineer **Position Type:** Full\-Time Contract (40hrs/week) **Contract Duration:** Long Term (Through Dec 2026\) **Work Schedule** : 8 hours/day (Mon\-Fri) **Work Hours:** 8am \- 5pm CST **Location** : 100% Remote We are seeking a **Junior Data Engineer** with experience in **Azure Databricks, Python, and Apache Spark** to build and maintain scalable data pipelines and analytics solutions. The role involves developing ETL/ELT pipelines, optimizing data processing, and supporting cloud\-based data platforms in an Azure environment. Key Responsibilities * Develop and maintain **ETL/ELT pipelines** using Azure Databricks and Azure Data Factory * Build and optimize **Apache Spark jobs** for large\-scale data processing * Work with **Python and SQL** to transform and analyze data * Support data architecture using **Delta Lake and Azure Data Lake Storage** * Collaborate with product owners and analytics teams to deliver reliable data solutions Requirements * **2–4 years of Data Engineering experience** * Hands\-on experience with **Azure Databricks and Apache Spark** * Strong **Python and SQL** skills * Experience building **ETL pipelines** * Familiarity with **Azure Data Factory and cloud data platforms** Nice to have: Azure certifications, streaming data experience, or infrastructure\-as\-code knowledge.