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.