Data Engineer

FutureTech Consultants, LLC; Alpharetta (GA); On-site; USD 120,000 - 190,000; Full time

Job summary

FutureTech Consultants, LLC is seeking a highly skilled Data Engineer with Agentic AI and Python expertise to design, develop, and deploy scalable data platforms and AI-powered solutions.

The role combines Data Engineering, Python development, and Agentic AI implementation, ideal for candidates with Databricks, Snowflake, RAG, and LLM-based solution experience.

Qualifications

• 7+ years of experience in Data Engineering and Python development.
• Strong hands-on experience with Python, PySpark, SQL, Databricks and Snowflake.
• Experience with Azure Data Factory or similar ETL tools.
• Experience building scalable data pipelines and lakehouse architectures.
• Knowledge of Spark, Delta Lake, Airflow, Kafka and data warehousing concepts.
• Experience with Git, CI/CD, and DevOps practices.
• Hands-on with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel or LlamaIndex.
• Understanding of LLMOps, AI Governance and Responsible AI practices.
• Preferred Snowpark, Cortex AI or Snowflake Cortex Search/Analyst; ML Ops tools like MLflow, Azure ML.
• Exposure to conversational AI, copilots and intelligent automation.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Python and PySpark.
• Develop data ingestion, transformation, and orchestration workflows.
• Build Agentic AI solutions leveraging LangChain, LangGraph, and related frameworks.
• Design Retrieval-Augmented Generation architectures, vector search, and semantic retrieval.
• Develop REST APIs and microservices using Python (FastAPI/Flask).
• Work with structured and unstructured data from multiple sources.
• Implement data quality, governance, monitoring, and observability frameworks.
• Collaborate with Data Scientists, Architects, and Business Stakeholders.

Skills

Python

PySpark

SQL

Databricks

Snowflake

Azure Data Factory

Spark

Delta Lake

Airflow

Kafka

Data Warehousing

Git

CI/CD

DevOps

Tools

Databricks

Snowflake

Azure Data Factory

Airflow

Kafka

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

LlamaIndex

Job description

We are seeking a highly skilled Data Engineer with Agentic AI and Python expertise to design, develop, and deploy scalable data platforms and AI-powered solutions.

The ideal candidate will have strong experience in Data Engineering, Python development, cloud-based data platforms, and modern Generative AI/Agentic AI frameworks.

This role combines Data Engineering, Python development, and Agentic AI implementation, making it ideal for candidates with Databricks, Snowflake, RAG, and LLM-based solution experience.

Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines using Python, PySpark, Databricks, and Snowflake.
• Develop and optimize data ingestion, transformation, and orchestration workflows.
• Build Agentic AI solutions leveraging frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or LangChain.
• Design and implement Retrieval-Augmented Generation (RAG) architectures, vector search, and semantic retrieval solutions.
• Develop REST APIs and microservices using Python (FastAPI/Flask).
• Work with structured and unstructured data from multiple sources.
• Implement data quality, governance, monitoring, and observability frameworks.
• Collaborate with Data Scientists, Architects, and Business Stakeholders to deliver AI-driven solutions.
• Follow Agile/Scrum methodologies and contribute to code reviews and best practices.

Required Skills:

• 7+ years of experience in Data Engineering and Python development.
• Strong hands-on experience with:
• Python, PySpark, SQL
• Databricks
• Snowflake
• Azure Data Factory (ADF) or similar ETL tools
• Experience building scalable data pipelines and lakehouse architectures.
• Knowledge of Spark, Delta Lake, Airflow, Kafka, and Data Warehousing concepts.
• Experience with Git, CI/CD, and DevOps practices.

Agentic AI & GenAI Requirements:

• Hands-on experience with:
• LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or LlamaIndex
• Prompt Engineering
• AI Agents and Multi-Agent Systems
• Understanding of LLMOps, AI Governance, and Responsible AI practices.

Preferred Qualifications:

• Experience with Snowpark, Cortex AI, or Snowflake Cortex Search/Analyst.
• Knowledge of MLOps tools such as MLflow and Azure ML.
• Exposure to conversational AI, copilots, and intelligent automation solutions.
• Relevant cloud or Databricks certifications.

Nice to Have:

• Real-time streaming using Kafka/Event Hubs.
• Experience with Docker and Kubernetes.
• Exposure to enterprise AI transformation initiatives.