IT America Inc
Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer (Databricks) in Austin, TX (Hybrid) with a contract length of "unknown" and pay rate of "unknown." Requires 10+ years of experience, expertise in Databricks, Azure, Python, SQL, and ETL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Austin, Texas Metropolitan Area
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🧠 - Skills detailed
#Azure Databricks #Cloud #AI (Artificial Intelligence) #PySpark #Version Control #Snowflake #Documentation #Python #Data Engineering #Databricks #Programming #Spark (Apache Spark) #SQL (Structured Query Language) #Automation #Azure #Delta Lake #"ETL (Extract #Transform #Load)"
Role description
Role: Lead Data Engineer (Databricks)
Location: Austin TX (Hybrid)
Visa Independent profiles only
Mandatory Skill Set : Databricks, Azure, AI, ETL
• 10+ years of data engineering or software engineering experience, with hands-on work in cloud data platforms (Databricks, Snowflake, Azure)
• Strong proficiency in Python and SQL with focus on production-grade code quality
• Demonstrated experience with Azure Databricks (notebooks, jobs, workflows, DLT) or equivalent modern data platforms
• Expert-level Python programming with strong software engineering practices (testing, documentation, version control)
• Strong SQL and PySpark optimization skills
• Strong experience in ETL Pipelines
• Proficiency in Azure Databricks, including Delta Lake, workflows, and Databricks Asset Bundles
• Experience designing and implementing automation workflows using orchestration tools or serverless platforms
Role: Lead Data Engineer (Databricks)
Location: Austin TX (Hybrid)
Visa Independent profiles only
Mandatory Skill Set : Databricks, Azure, AI, ETL
• 10+ years of data engineering or software engineering experience, with hands-on work in cloud data platforms (Databricks, Snowflake, Azure)
• Strong proficiency in Python and SQL with focus on production-grade code quality
• Demonstrated experience with Azure Databricks (notebooks, jobs, workflows, DLT) or equivalent modern data platforms
• Expert-level Python programming with strong software engineering practices (testing, documentation, version control)
• Strong SQL and PySpark optimization skills
• Strong experience in ETL Pipelines
• Proficiency in Azure Databricks, including Delta Lake, workflows, and Databricks Asset Bundles
• Experience designing and implementing automation workflows using orchestration tools or serverless platforms
