TalentOla

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown" and a pay rate of "unknown." The position requires on-site work and expertise in healthcare data, SQL, Python, PySpark, Databricks, and Azure Data Factory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 23, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Data Engineering #Automation #PySpark #Infrastructure as Code (IaC) #Data Pipeline #ADLS (Azure Data Lake Storage) #Monitoring #"ETL (Extract #Transform #Load)" #Python #Spark (Apache Spark) #Cloud #Azure #ADF (Azure Data Factory) #Databricks #Microsoft Azure #Azure cloud #SQL (Structured Query Language) #Azure Data Factory #Azure SQL #Scala #Data Processing
Role description
Need Local candidate F2F Interview Senior Data Engineer to build and manage scalable cloud data pipelines for healthcare analytics. 🔑 Key Responsibilities: • Design & develop ETL/ELT pipelines for large-scale data processing • Build and optimize SQL, Python & PySpark/Databricks Databricks solutions • Develop Microsoft Azure Data Factory (ADF) pipelines with monitoring & error handling • Work on Azure ecosystem (ADLS, Azure SQL) • Ensure data validation, performance tuning & CI/CD integration • Use Pulumi (IaC) for Azure infrastructure automation 🧠 Skills: SQL, Python, PySpark, Databricks, ADF, ADLS Gen2, ETL/ELT, CI/CD, Azure Cloud mandatory skilss : Healthcare