Senior AI Data Engineer

Description

Title: Senior AI Data Engineer

Location: Charlotte, NC

Duration: 6 months

Work Engagement: W2

Work Schedule: Hybrid 3 days in office/2 days remote

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Key Requirements:

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.

• Programming: Python, Git, APIs & Application Development: FastAPI, REST APIs, JSON, Pydantic, Spark / PySpark

• Data Engineering: SQL, Oracle, ETL/ELT

• Data Platforms: Microsoft Fabric, OneLake, Data Warehouse/Lakehouse concepts

• Pipeline Orchestration: Data Factory, Airflow or equivalent orchestration platform

• AI / ML Engineering: Azure OpenAI, OpenAI APIs, LangChain/LangGraph (or similar frameworks)

• Search & Retrieval: Embeddings, Vector Search, RAG patterns

• Cloud & DevOps: Azure, Docker, CI/CD (Azure DevOps/GitHub Actions)

• Monitoring & Operations: Logging, Monitoring, Alerting, Application Insights

• Security & Governance: Key Vault, OAuth, Secrets Management, PII/Data Governance

• Analytics & Reporting: Power BI

• Documentation & Delivery: Technical Documentation, Runbooks, Agile Delivery 2

Nice to Have:

• C# / .NET
• Flask, Django, React, and Gradio
• Databricks
• Neo4j / Graph Databases
• Semantic Kernel
• MLflow
• Kubernetes
• Snowflake
• Elasticsearch / Azure AI Search