

IT America Inc
Data AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data AI Engineer with 10+ years of experience in data engineering, specializing in Databricks and Azure. Contract length is unspecified, with a pay rate of "unknown." Requires proficiency in Python, SQL, and AI automation tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 22, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Austin, Texas Metropolitan Area
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🧠 - Skills detailed
#Automation #Data Engineering #Azure Databricks #AI (Artificial Intelligence) #Documentation #Snowflake #Databricks #PySpark #Delta Lake #Python #Cloud #Langchain #Programming #Spark (Apache Spark) #Azure #Version Control #SQL (Structured Query Language)
Role description
Role: Data Engineer (Databricks) with AI
Location: Austin TX (Hybrid) - Need locals Only
Visa Independent profiles only
• 10+ years of data engineering or software engineering experience, with hands-on work in cloud data platforms (Databricks, Snowflake, Azure)
• Proven experience developing automation solutions, agents, or AI-powered tools (e.g., using LLMs, prompt engineering, or orchestration frameworks like Databricks Agent Framework (or LangChain, AutoGen)
• 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
• Hands-on experience with LLM APIs, prompt engineering, and AI agent frameworks (e.g., Databricks Agent Bricks, LangChain, OpenAI, Azure OpenAI)
• 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: Data Engineer (Databricks) with AI
Location: Austin TX (Hybrid) - Need locals Only
Visa Independent profiles only
• 10+ years of data engineering or software engineering experience, with hands-on work in cloud data platforms (Databricks, Snowflake, Azure)
• Proven experience developing automation solutions, agents, or AI-powered tools (e.g., using LLMs, prompt engineering, or orchestration frameworks like Databricks Agent Framework (or LangChain, AutoGen)
• 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
• Hands-on experience with LLM APIs, prompt engineering, and AI agent frameworks (e.g., Databricks Agent Bricks, LangChain, OpenAI, Azure OpenAI)
• Proficiency in Azure Databricks, including Delta Lake, workflows, and Databricks Asset Bundles
• Experience designing and implementing automation workflows using orchestration tools or serverless platforms






