MSR Technology Group
Senior Data Engineer – Azure / Python ETL Modernization
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer focused on Azure/Python ETL modernization, offering a remote contract with minimal travel. Key skills include Python, PySpark, Azure Data Factory, and advanced SQL. Experience in ETL modernization and enterprise data warehouses is required.
🌎 - 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
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Engineering #PySpark #Data Warehouse #Delta Lake #EDW (Enterprise Data Warehouse) #Teradata SQL #ADLS (Azure Data Lake Storage) #"ETL (Extract #Transform #Load)" #Informatica #Python #Spark (Apache Spark) #Cloud #Azure #ADF (Azure Data Factory) #Databricks #Synapse #SQL Server #SQL (Structured Query Language) #Migration #Teradata #Azure Data Factory #Scala #Oracle #Data Processing
Role description
Senior Data Engineer – Azure / Python ETL Modernization
Remote (U.S.) with Minimal travel (2–3x per year)
Seeking a hands-on Senior Data Engineer to support large-scale ETL modernization efforts—moving legacy pipelines (e.g., Informatica, on-prem warehouses) into modern Azure-based, Python-driven data platforms.
This is a build-focused role centered on Python, Spark, and cloud data engineering.
What You’ll Do
• Refactor legacy ETL pipelines into Python/PySpark-based solutions
• Build scalable pipelines using Azure Data Factory, Synapse, and/or Databricks
• Develop reusable ingestion and transformation frameworks
• Design and support lakehouse architectures (ADLS Gen2, Delta Lake)
• Optimize SQL and large-scale data processing workloads
• Support cloud migrations from on-prem (Teradata, SQL Server, Oracle)
What You Need
• Strong Python for data engineering (required)
• Hands-on PySpark / Spark experience
• Azure stack: ADF, Synapse, or Databricks
• Advanced SQL (performance tuning, complex transformations)
• Experience with ETL modernization or migration
Nice to Have
• Informatica or legacy ETL migration experience
• Large enterprise data warehouse background
• Healthcare or regulated domain exposure
Senior Data Engineer – Azure / Python ETL Modernization
Remote (U.S.) with Minimal travel (2–3x per year)
Seeking a hands-on Senior Data Engineer to support large-scale ETL modernization efforts—moving legacy pipelines (e.g., Informatica, on-prem warehouses) into modern Azure-based, Python-driven data platforms.
This is a build-focused role centered on Python, Spark, and cloud data engineering.
What You’ll Do
• Refactor legacy ETL pipelines into Python/PySpark-based solutions
• Build scalable pipelines using Azure Data Factory, Synapse, and/or Databricks
• Develop reusable ingestion and transformation frameworks
• Design and support lakehouse architectures (ADLS Gen2, Delta Lake)
• Optimize SQL and large-scale data processing workloads
• Support cloud migrations from on-prem (Teradata, SQL Server, Oracle)
What You Need
• Strong Python for data engineering (required)
• Hands-on PySpark / Spark experience
• Azure stack: ADF, Synapse, or Databricks
• Advanced SQL (performance tuning, complex transformations)
• Experience with ETL modernization or migration
Nice to Have
• Informatica or legacy ETL migration experience
• Large enterprise data warehouse background
• Healthcare or regulated domain exposure
