Data Engineer - AI

Compunnel, Inc.; Pennsylvania; On-site; USD 100,000 - 130,000; Full time

Job summary

Compunnel, Inc. is seeking a skilled Data Engineer – AI located in Pennsylvania to design and build scalable data pipelines that support AI/ML workloads. The ideal candidate will have extensive experience in SQL and Python, as well as strong knowledge of Azure cloud technologies and AI-driven data platforms. This role involves developing robust storage solutions and optimizing workflows for performance and reliability in data processing.

Qualifications

• 5+ years of strong experience in SQL and Python.
• 5+ years of experience working in Azure cloud environments.
• 5+ years of experience with AI-driven analytics or data platforms.

Responsibilities

• Design and build scalable data pipelines for ingestion, transformation, and processing of AI/ML data.
• Develop and manage data storage solutions, including vector databases.
• Implement data lineage, validation, and security controls to ensure data quality.

Skills

SQL

Python

Azure cloud technologies

AI-driven analytics

ETL/ELT pipeline design

Data governance

Education

Bachelor’s degree in Computer Science or equivalent work experience

Tools

Pinecone

Milvus

Hugging Face

LangChain

Job description

We are seeking a Data Engineer – AI to design and build scalable data pipelines that support AI/ML workloads and advanced analytics. This role focuses on developing robust data ingestion, transformation, and storage solutions, including support for Retrieval-Augmented Generation (RAG) systems. The ideal candidate will have strong experience in Python, SQL, Azure cloud technologies, and AI-driven data platforms.

Key Responsibilities

• Design and build scalable data pipelines for ingestion, transformation, and processing of AI/ML data
• Develop and manage data storage solutions, including vector databases for RAG systems
• Implement data lineage, validation, and security controls to ensure data quality and compliance
• Clean, structure, and optimize complex datasets for analytical and operational use
• Support AI-driven analytics and data mapping initiatives
• Work extensively on Azure cloud platforms to deploy and manage data solutions
• Collaborate with cross-functional teams to enable AI and data-driven capabilities
• Optimize data workflows for performance, scalability, and reliability

Required Qualifications

• 5+ years of strong experience in SQL and Python
• 5+ years of experience working in Azure cloud environments
• 5+ years of experience with AI-driven analytics or data platforms
• Familiarity with AI tools and frameworks such as vector databases (e.g., Pinecone, Milvus) and frameworks like Hugging Face or LangChain
• Strong expertise in ETL/ELT pipeline design and data warehousing
• Bachelor’s degree in Computer Science or equivalent work experience

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG) architectures
• Strong understanding of data governance, lineage, and security best practices
• Experience working with large-scale, enterprise data platforms
• Strong problem-solving and analytical skills