Analysis Skills, Artificial Intelligence (AI), Best Practices, Cloud Computing, Cloud Storage, Code Reviews, Consulting, Cost Control, Cross-Functional, Data Analysis, Data Fusion, Data Management, Data Quality, Data Science, Data Warehousing, Database Extract Transform and Load (ETL), Docker, GCP (Good Clinical Practices), High Reliability, Identify Issues, Information/Data Security (InfoSec), Looker, Machine Learning, Performance Management, Python Programming/Scripting Language, Regulatory Compliance, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Software Engineering, Star Schema, Transformation Tools
Title: Senior Software Engineer - Data Engineering (GCP & AI)
Location: 300 S Brevard St Charlotte, NC
Duration: 12 months
Work Engagement: W2
Work Schedule: 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.
About the Role:
We are seeking an experienced Senior Software Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and optimize scalable data warehousing solutions and AI-powered systems. You will play a critical role in developing robust data pipelines, modern data warehouses on GCP, and integrating AI/ML capabilities to deliver high-impact business value.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
- Build and optimize Data Warehouses and data lakes using various GCP services (BigQuery, Cloud Storage, Dataflow, Dataproc, etc.).
- Leverage GCP native tools for orchestration, transformation, and data quality (Cloud Composer, dbt, Dataform, etc.).
- Integrate and productionize AI/ML models using Vertex AI and other GCP AI services.
- Ensure high performance, reliability, cost-efficiency, security, and governance of data platforms.
- Collaborate with data scientists, analysts, and cross-functional teams to deliver end-to-end data and AI solutions.
- Monitor, troubleshoot, and optimize data pipelines and warehouse performance.
Qualifications:
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
- 7+ years of hands-on software engineering experience with a strong focus on data engineering.
- Extensive experience working on Google Cloud Platform (GCP) and building solutions using its data services.
- Strong practical knowledge of GCP data services including:
- BigQuery (for data warehousing and analytics)
- Cloud Dataflow, Dataproc, or Data Fusion for ETL/processing
- Cloud Composer (Airflow) for orchestration
- Cloud Storage, Pub/Sub, Looker, etc.
- Solid understanding of Data Warehousing concepts, architecture, modeling (star/snowflake schema), and best practices.
- Proven experience working with Artificial Intelligence / Machine Learning, including model deployment and integration on GCP (Vertex AI is highly preferred).
- Proficiency in Python (and SQL) for data engineering and backend development.
- Strong experience in building production-grade, scalable, and cost-optimized data solutions.
Preferred Qualifications:
- Google Cloud Professional Data Engineer or Machine Learning Engineer certification.
- Experience with dbt, Dataform, or similar transformation tools on BigQuery.
- Knowledge of MLOps practices, model monitoring, and RAG/LLM applications.
- Familiarity with containerization (Docker) and orchestration (Kubernetes/GKE).
- Experience in real-time streaming pipelines using Pub/Sub and Dataflow.
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Wells Fargo & Co
We believe in our vision and values just as strongly today as we did the first time we put them on paper more than 20 years ago. Staying true to them will guide us toward continued growth and success for decades to come. As you read more about our vision and values, you will learn about who we are, where we’re headed and how every Wells Fargo team member can help us get there.