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Data Engineer

Virtual NetworxChicago, IL🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationChicago, IL, United States
SQLETLDatabricksPythonAzurePower BIAzure Data Factory

Job description

Job Role: Data Engineer

Location: Chicago, IL

Duration: 12 months

Visa Sponsorship profiles are acceptable

Job Description

Key Responsibilities

  • Design and develop data pipelines using Azure Data Factory, Databricks, and other cloud-native tools.
  • Implement ETL processes to ensure efficient data ingestion, transformation, and storage.
  • Collaborate with business stakeholders to understand reporting needs and deliver actionable insights.
  • Develop and maintain dashboards in Power BI to support decision-making across teams.
  • Optimize data workflows for performance, scalability, and reliability.
  • Ensure data quality and governance standards are met across all systems.
  • Troubleshoot and resolve issues related to data pipelines, integrations, and reporting.

Required Skills & Qualifications

  • Hands-on experience with Microsoft Azure (Data Factory, Synapse, Storage, etc.).
  • Proficiency in Databricks for big data processing and analytics.
  • Strong Python programming skills for data manipulation, automation, and integration.
  • Expertise in Power BI for dashboard creation and data visualization.
  • Solid understanding of SQL and relational database concepts.
  • Experience with data modeling and performance tuning.
  • Excellent communication skills to work effectively with technical and non-technical stakeholders.

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