Python Data Engineer

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NEED CANDIDATES TO WORK ON OUR W2 PAYROLL

Job Description:

We are looking for a skilled Python Data Engineer with 7+ Years hands-on experience in Azure, PySpark, and Databricks, specifically within the insurance domain. This is a hybrid, long-term contract position requiring a mix of remote and onsite work in either Hartford, CT or Charlotte, NC. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and supporting data-driven decision-making across the organization.

Key Responsibilities:

• Design and develop scalable and robust data pipelines using PySpark and Python.
• Utilize Databricks for distributed data processing, data wrangling, and advanced analytics.
• Ensure data quality, integrity, and compliance with data governance and security policies.
• Collaborate with cross-functional teams, including business analysts, data scientists, and application developers.
• Participate in performance tuning, troubleshooting, and optimization of data workflows.
• Translate business requirements into technical specifications, especially within the insurance industry context.
• Develop and maintain documentation for data pipelines and architecture.

Location:

(Charlotte, NC & Hartford, CT) - Hybrid

Duration: Long-Term Contract

Interview: F2F

• Seniority level
  
  Mid-Senior level

• Employment type
  
  Contract

• Job function
  
  Finance and Information Technology
• Industries Insurance and IT Services and IT Consulting

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