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# Senior AI Data Engineer (contract)

- **Company:** Wells Fargo
- **Location:** Charlotte, NC, United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Data Analysis, Application Performance Management, Microsoft Azure, C Sharp (Programming Language), Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, DevOps, Django Web Framework, Elasticsearch, Github, Graph Database, JSON, Python (Programming Language), Key Management, Machine Learning, Neo4j, OAuth, Oracle (Applications), Power BI, Runbook, Search Technologies, Software Engineering, SQL Databases, Data Logging, ReactJS, Flask (Web Framework), Snowflake, Apache Spark, Git, Fastapi, Microsoft Fabric, Pyspark, Kubernetes, Data Management, Machine Learning Operations, Restful APIs, Data Pipelines, Docker, Key Vault, Databricks
- **Published:** August 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d0871e37a530ef61

## About the Role

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

## Description

* 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


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