Data Engineer with Snowflake | Vector DB | Graph DB | Python

• Job Title: Data Engineer – Snowflake | Vector DB | Graph DB | Python
• Location: Columbus, OH (Day 1 Onsite)
• Employment Type: W2 / 1099 / H1B Transfer Only (OPT Candidates Welcome)

• Job Description
• We are seeking an experienced Data Engineer with strong expertise in Snowflake, Python, Vector Databases, and Graph Databases to join our team in Columbus, OH. The ideal candidate will design, build, and optimize scalable data pipelines while enabling AI/ML and GenAI use cases through modern data platforms. Experience with cloud technologies, data modeling, and high-performance data processing is highly preferred.

• Required Skills
• Strong hands-on experience with Snowflake including Snowpipe, Streams, Tasks, and performance optimization.
• Proficiency in Python for ETL development, automation, and data processing.
• Experience working with Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB, FAISS, or similar).
• Experience with Graph Databases such as Neo4j, Amazon Neptune, or TigerGraph.
• Strong knowledge of SQL and data modeling.
• Experience building scalable ETL/ELT pipelines.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data orchestration tools such as Airflow, Prefect, or similar.
• Familiarity with Spark or Databricks is a plus.
• Understanding of AI/ML data pipelines and Retrieval-Augmented Generation (RAG) architectures is highly desirable.
• Excellent analytical, troubleshooting, and communication skills.

• Key Responsibilities
• Design, develop, and maintain scalable data pipelines using Python and Snowflake.
• Build and optimize data ingestion, transformation, and integration processes.
• Implement and manage Vector Database and Graph Database solutions for AI-powered applications.
• Optimize Snowflake performance, storage, and query execution.
• Collaborate with Data Scientists, AI Engineers, and application teams to support GenAI initiatives.
• Ensure data quality, governance, security, and compliance across the data platform.
• Automate ETL workflows and monitor pipeline health.
• Troubleshoot production issues and implement performance improvements.

• Preferred Qualifications
• Experience with GenAI, LLMs, embeddings, and RAG-based architectures.
• Knowledge of Kafka or other streaming technologies.
• Experience with CI/CD and Infrastructure as Code (Terraform, CloudFormation, etc.).
• Snowflake or cloud certifications are a plus.

📩 Interested candidates, please share your updated resume at: [email protected]

Note:

• ✅ Only W2, 1099, or H1B Transfer candidates will be considered. (OPT Candidates are Welcome)
• ❌ C2C candidates will not be considered.