Data Engineer

Overview

Insight Global is seeking a highly skilled Data Engineer to support one of our insurance clients in a dynamic hybrid environment. This is a 6-month contract opportunity with the potential for extension. This team has a hole in their Python and Databricks experience, and searching for resources that can fill that gap! The ideal candidate will bring 5+ years of data engineering experience
, with a strong focus on Python-based ETL development and Azure Databricks
.

$50.00/hr - $60.00/hr

• Design, build, and maintain scalable ETL pipelines using Python and Azure Data Factory
• Develop and optimize Databricks notebooks for data ingestion, transformation, and analytics
• Collaborate with data scientists, analysts, and business stakeholders to deliver clean, reliable datasets
• Implement data quality checks, monitoring, and governance practices
• Work with cloud-native tools to manage data lakes, warehouses, and real-time data streams
• Participate in Agile ceremonies and contribute to sprint planning and retrospectives

• 5+ years of hands-on experience in data engineering
• Strong proficiency in Python
  , especially for ETL workflows
• Deep experience with Azure Databricks (including PySpark, Delta Lake, and notebook orchestration)
• Solid understanding of Azure cloud services (Data Factory, Blob Storage, Synapse, etc.)
• Experience with SQL and data modeling
• Familiarity with CI/CD pipelines and version control (e.g., Git, Azure Dev Ops)

• Experience in the insurance or financial services industry
• Knowledge of data governance tools like Unity Catalog or Microsoft Purview
• Exposure to Apache Spark
  , Kafka
  , or Airflow

• Mid-Senior level

• Contract

• Information Technology

• Staffing and Recruiting