Talent Groups
Onsite // Azure Databricks Engineer (Delta Lake, Spark, Pyspark, Python )
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Onsite Azure Databricks Engineer in Louisville, KY, with a contract length of unspecified duration. The pay rate is also unspecified. Key skills include 5+ years in data engineering, proficiency in SQL, Python, and Databricks, plus experience with Azure services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 19, 2025
🕒 - 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
Louisville, KY
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🧠 - Skills detailed
#Data Quality #Data Lake #Automation #Delta Lake #ADF (Azure Data Factory) #Data Engineering #Snowflake #Cloud #Azure Databricks #Databricks #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Modeling #Azure Data Factory #Spark (Apache Spark) #Version Control #Azure cloud #PySpark #Azure #Python
Role description
Onsite
Azure Databricks Engineer (Delta Lake, Spark, Pyspark, Python)
Contract
Louisville, KY
Job Description:
• Design, develop, and optimize robust ETL/ELT pipelines using Databricks, Python and SQL.
• Write clean, efficient, and reusable code in SQL & Python for data transformation and automation. ·
• Collaborate with business stakeholders to understand data needs and deliver high-quality solutions. ·
• Ensure data quality, integrity, and governance across all data platforms. ·
• Monitor and troubleshoot data workflows and performance issues. Required Qualifications ·
• 5+ years of experience in data engineering or a similar role. · Proficiency in SQL, Python, and Automation. ·
• Hands-on experience with Databricks, Snowflake, and Azure cloud services (e.g., Azure Data Lake, Azure Data Factory, Azure Functions). ·
• Strong understanding of data modeling, data warehousing, and ETL/ELT best practices. ·
• Experience with version control and CI/CD practices. ·
• Strong problem-solving skills and ability to work independently in a fast-paced environment.
Onsite
Azure Databricks Engineer (Delta Lake, Spark, Pyspark, Python)
Contract
Louisville, KY
Job Description:
• Design, develop, and optimize robust ETL/ELT pipelines using Databricks, Python and SQL.
• Write clean, efficient, and reusable code in SQL & Python for data transformation and automation. ·
• Collaborate with business stakeholders to understand data needs and deliver high-quality solutions. ·
• Ensure data quality, integrity, and governance across all data platforms. ·
• Monitor and troubleshoot data workflows and performance issues. Required Qualifications ·
• 5+ years of experience in data engineering or a similar role. · Proficiency in SQL, Python, and Automation. ·
• Hands-on experience with Databricks, Snowflake, and Azure cloud services (e.g., Azure Data Lake, Azure Data Factory, Azure Functions). ·
• Strong understanding of data modeling, data warehousing, and ETL/ELT best practices. ·
• Experience with version control and CI/CD practices. ·
• Strong problem-solving skills and ability to work independently in a fast-paced environment.
