Senior AI Data Engineer (contract)

Wells Fargo

Charlotte, NC, United States

25 days ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

.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)

+35 more

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

Job 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

Requirements

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.