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Chicago Azure Data Engineer - Hybrid

Jobs via Dice

Chicago (IL)

Remote

USD 100,000 - 140,000

Full time

2 days ago
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Job summary

A leading technology firm seeks an Azure Data Engineer in Chicago. The role entails assisting the migration of on-prem solutions to the Azure cloud, working in a dynamic and collaborative environment. Candidates should have strong experience with SQL, Azure services, and familiarity with scripting languages like PowerShell or Python. This is a full-time position offering competitive compensation and the chance to work on prestigious projects.

Qualifications

  • 6+ years experience with SQL and Azure.
  • Experience in cloud and API integrations.
  • Knowledge of scripting languages like PowerShell or Python.

Responsibilities

  • Assist with migrating on-prem solutions to Azure cloud.
  • Work as part of a small engineering team focusing on dynamic project needs.

Skills

SQL
Azure
Azure Data Factory
Azure Databricks
Scripting (PowerShell, Python)
Cloud Integrations

Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Oscar Technology, is seeking an Azure Data Engineer based in Chicago, to join their team and assist with migrating acquired businesses' on-prem solutions to Azure cloud. The company works with major clients in telecommunications, retail, and finance and operates internationally out of Europe and the U.S. This is an excellent opportunity to work with the latest cloud technology in a dynamic, small team of engineers. If you're tired of red tape and slow development in your current role, this could be the perfect fit!

Salary: $100K - $140K + Stocks

Location: Chicago - Remote

Employment Type: Full-time

Requirements
  • 6+ years experience with SQL, Azure, preferably Azure Data Factory and Azure Databricks (any cloud expertise acceptable)
  • Experience with Cloud and API (RESTful and SOAP) integrations
  • Scripting knowledge such as PowerShell or Python
  • Background in data engineering, data integration, data analysis, ERP consulting, or related fields
Additional Details
  • Seniority Level: Mid-Senior level
  • Industry: Software Development
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