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Skills

Decision-making
PySpark
Python
Data Lake
Microsoft Azure
Data Integration
Databricks
Data Processing
Data Wrangling
Advanced Analytics
Data Quality
Regulatory Compliance
Data Governance
Collaboration
Performance Tuning
Optimization
Workflow
Specification Gathering
Insurance
Documentation

Summary

Job Description:

We are looking for a skilled Python Data Engineer with 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.
Leverage Azure Data Services (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse) for data integration and transformation.
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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183517
Position Id: ffecffe55722e33248592cee25101d17
Posted 6 days ago

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Python Data Engineer

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