Python Data Engineer
Listed on 2026-02-12
-
IT/Tech
Data Engineer, Data Science Manager, Data Analyst
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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- 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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