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.