Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with a 3-month contract, paying competitive rates, located in Washington DC. Key skills include Python, SQL, Azure Data Factory, Databricks, and PySpark, with a focus on cloud migration projects.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
576
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🗓️ - Date discovered
September 3, 2025
🕒 - Project duration
3 to 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#Data Bricks #Azure #Python #PySpark #ADF (Azure Data Factory) #Spark (Apache Spark) #SQL (Structured Query Language) #Cloud #Databricks #Azure Data Factory #Migration #Azure cloud #Data Engineering #"ETL (Extract #Transform #Load)" #Big Data
Role description
Job Title: Developer Standard III
Duration: 03 months with extensions
Location: Washington DC 20433
Hybrid: 4 onsite per week from day 1
HM Notes:
Need strong Date Engineer having solid experience in Python, SQL, Azure Data Factory, Data Bricks and PySpark. The candidate will be working on migrating project on prem to Azure stack.
Skills:
• We are seeking a Data Engineer with strong experience in Python, SQL, Azure Data Factory, Databricks, and PySpark. The role involves migrating large-scale data solutions from on-premises to the Azure cloud stack.
• Candidates should have hands-on expertise in designing and implementing ETL pipelines using Azure services. Proficiency in optimizing data workflows and working with big data technologies is essential.
• Prior experience with cloud migration projects is highly preferred.
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
Job Title: Developer Standard III
Duration: 03 months with extensions
Location: Washington DC 20433
Hybrid: 4 onsite per week from day 1
HM Notes:
Need strong Date Engineer having solid experience in Python, SQL, Azure Data Factory, Data Bricks and PySpark. The candidate will be working on migrating project on prem to Azure stack.
Skills:
• We are seeking a Data Engineer with strong experience in Python, SQL, Azure Data Factory, Databricks, and PySpark. The role involves migrating large-scale data solutions from on-premises to the Azure cloud stack.
• Candidates should have hands-on expertise in designing and implementing ETL pipelines using Azure services. Proficiency in optimizing data workflows and working with big data technologies is essential.
• Prior experience with cloud migration projects is highly preferred.
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."
