Data Engineer with Python Spark Databricks and AIML

Location: Dallas, TX
Duration: 6+ Months Contract

Preferred: Candidates with Telecom industry experience

We are seeking an experienced Data Engineer with expertise in Python, Spark, Databricks, and AI/ML technologies to build scalable data platforms and Generative AI solutions. The ideal candidate should have experience developing data pipelines, LLM applications, AI agent workflows, and cloud-based data engineering solutions.

• Design and build scalable data pipelines using Python, Spark, Databricks, and Delta Lake.

• Develop and manage data solutions on Azure, Snowflake, and PostgreSQL.

• Build and optimize LLM/GenAI pipelines, including data ingestion, prompt engineering, fine-tuning, and deployment.

• Develop AI workflows using LangChain, LangGraph, AI Agents, and RAG architectures.

• Integrate with OpenAI, Azure OpenAI, Hugging Face, and other LLM APIs.

• Collaborate with data scientists, AI engineers, and business teams.

• Ensure data quality, governance, security, and performance across enterprise data platforms.

• 7 12 years of Data Engineering experience.

• Strong expertise in Python, PySpark, and Apache Spark.

• Hands-on experience with Databricks and Delta Lake.

• Experience with Snowflake and PostgreSQL.

• Experience building LLM/GenAI applications and pipelines.

• Strong knowledge of LangChain, LangGraph, AI Agents, and RAG (Retrieval-Augmented Generation).

• Experience with OpenAI, Azure OpenAI, or Hugging Face APIs.

• Good understanding of Azure Cloud architecture and scalable data solutions.

• Strong analytical, problem-solving, and communication skills.

• Telecom domain experience.

• Experience with Model Context Protocol (MCP).

• AI Agent orchestration.

• Docker.

• CI/CD pipelines.

• Azure or GCP cloud platforms.

1. Python & PySpark

2. Databricks & Apache Spark

3. LLM/GenAI (LangChain, LangGraph, RAG, OpenAI/Azure OpenAI)

4. Snowflake & Delta Lake

5. Azure Cloud

• Telecom industry experience

• MCP (Model Context Protocol)

• Docker & CI/CD

• GCP Cloud Experience

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