NAVA Software Solutions
AI Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Engineer with 6+ years of experience, specializing in Databricks and MuleSoft, to design scalable data pipelines remotely. Proficiency in Python/Scala and Azure cloud environments is required, along with AI/ML pipeline experience. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 10, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Apache Spark #Cloud #Azure #Data Ingestion #Spark (Apache Spark) #Data Pipeline #"ETL (Extract #Transform #Load)" #Data Engineering #Scala #Security #Data Quality #Data Governance #Azure cloud #Databricks #AI (Artificial Intelligence) #ML (Machine Learning) #Datasets #Delta Lake #Python
Role description
Job title : AI Data Engineer (Databricks / MuleSoft)
Location: Remote (US)
Job Summary
We are looking for a highly skilled AI Data Engineer with expertise in Databricks and MuleSoft, to design and implement scalable data pipelines and AI-driven solutions using Claude Code (Opus 4.6) within Azure AI Foundry.
Key Responsibilities
• Design and build data pipelines using Databricks (Spark, Delta Lake)
• Integrate systems and APIs using MuleSoft
• Work on data ingestion, transformation, and orchestration
• Enable AI/ML workflows by preparing high-quality datasets
• Collaborate with engineering teams leveraging AI-assisted development tools
• Ensure data governance, security, and performance optimization
Required Skills
• 6+ years of experience in Data Engineering
• Strong expertise in Databricks, Apache Spark, and Delta Lake
• Experience with MuleSoft integration platform
• Proficiency in Python/Scala
• Experience working in Azure cloud environments
Preferred Qualifications
• Experience with AI/ML pipelines and LLM integration
• Familiarity with Azure AI Foundry / OpenAI ecosystem
• Knowledge of data governance and data quality frameworks
Job title : AI Data Engineer (Databricks / MuleSoft)
Location: Remote (US)
Job Summary
We are looking for a highly skilled AI Data Engineer with expertise in Databricks and MuleSoft, to design and implement scalable data pipelines and AI-driven solutions using Claude Code (Opus 4.6) within Azure AI Foundry.
Key Responsibilities
• Design and build data pipelines using Databricks (Spark, Delta Lake)
• Integrate systems and APIs using MuleSoft
• Work on data ingestion, transformation, and orchestration
• Enable AI/ML workflows by preparing high-quality datasets
• Collaborate with engineering teams leveraging AI-assisted development tools
• Ensure data governance, security, and performance optimization
Required Skills
• 6+ years of experience in Data Engineering
• Strong expertise in Databricks, Apache Spark, and Delta Lake
• Experience with MuleSoft integration platform
• Proficiency in Python/Scala
• Experience working in Azure cloud environments
Preferred Qualifications
• Experience with AI/ML pipelines and LLM integration
• Familiarity with Azure AI Foundry / OpenAI ecosystem
• Knowledge of data governance and data quality frameworks
