Google Cloud Platform Data Engineer
Location: Preferred location is Charlotte NC , Irving TX, Chandler AZ, Columbus OH , Des Moines and Minneapolis MN (3 days onsite)
W2 Candidates
Experience with Spark, PySpark, Python, Data Lakehouse architecture, Kafka , Airflow , GCS, Big Query, Cloud Composer, Web based UI development using React and Node JS is a plus
Software Engineer - AI Cloud Native Data Engineering Are you looking for a chance to be part of a high performing team that is passionate about data
Does the thought of building a modern AI-enabled data platform from the ground up excite you
We are looking for someone to join our team to help enable solutions for the next generation of data analysis while working in a fast-paced environment that fosters growth and development. If this sounds like you we want to hear from you. We are currently seeking a Lead Cloud Data Platform Engineer to apply deep technical skills to create data products develop AI-based automation tools and build a world-class cloud analytics capability for Wells Fargos Cyber Security Data Ecosystem on a Hybrid cloud. The successful candidate will continually innovate and pioneer the use of new technologies and drive adoption of these amongst a team of talented data engineers. You will be an integral part of our migration from our on-premises systems to the Google Azure cloud. You will be a vital member of an agile team helping to lead the design and hands-on implementation of modern data processing capabilities. This is a visible role that allows you to share your knowledge and skills with other developers and product teams in a collaborative environment. Responsibilities: In this role you will Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest transform and distribute data for a variety of big data apps Leverage AI/Agentic frameworks to automate data management governance and data consumption capabilities - data pipelines data quality metadata data compliance etc. Work within a matrix org. with principal engineers product managers and data engineers to roadmap plan and deliver key data capabilities based on priority Required Qualifications: Demonstrable skills recent using AI tools such as LangChain LangGraph/ADK agentic frameworks RAG GraphRAG and using MCP to build agent-based data capabilities 5 years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing 3 years of experience with Data lakehouse architecture and design including hands-on experience with Python pySpark Kafka Airflow Google Cloud Storage BigQuery Data Proc Cloud Composer Hands-on experience developing data flows using Kafka Flink and Spark streaming Desired Qualifications: Proven experience using AI to auto-generate data engineering related code context engineering and prompt engineering Deep background on cloud-based data lakes and warehouses and automated data pipelines Public cloud certifications such as Google Cloud Platform Professional Data Engineer Azure Data Engineer or AWS Specialty Data Analytics
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