Databricks Data Engineer with AI Agent Experience

Job Summary

Databricks Data Engineer with AI Agent Experience Join Fresh Gravity as a Databricks Data Engineer and help us build intelligent, scalable data platforms that power AI-driven solutions for clients around the world. Youll work at the intersection of data engineering and applied AI, designing systems that dont just move data, but think. If youre excited about shaping the future of intelligent data platforms, wed love to hear from you.

Responsibilities

• Design, build, and optimize data pipelines and workflows on the Databricks platform
• Develop and integrate AI agents to automate data processing, decision-making, and workflow orchestration
• Build scalable ETL/ELT solutions using Spark, Delta Lake, and related big data technologies
• Collaborate with data scientists and architects to operationalize machine learning and generative AI models
• Ensure data quality, reliability, and performance across pipelines and platforms
• Troubleshoot and continuously improve existing data engineering solutions
• Ability to work with LLM frameworks or generative AI tools within Databricks. Creating AI Agents to accelerate Data Engineering tasks

Requirements

• Hands-on experience with Databricks, Apache Spark, and Delta Lake
• Ability to work with LLM frameworks or generative AI tools within Databricks. Creating AI Agents
• Practical experience building or integrating AI agents or agentic workflows into data pipelines
• Strong programming skills in Python and SQL
• Solid understanding of data engineering principles, including pipeline design, orchestration, and performance tuning
• Ability to work collaboratively across engineering and data science teams

Nice to have

• Experience with cloud platforms such as Azure, AWS, or GCP
• Exposure to CI/CD practices for data engineering workflows

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.