Technology And Data - Specialty Software Engineer 4 - Contingent, Chandler

Senior Data Ops Engineer
Location: Charlotte, Irving, Chandler, Columbus, Des Moines, and Minneapolis Duration: 12 months +
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 GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics.
Web based UI development using React and Node JS is a plus.
Responsibilities: 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.