REMOTE Job: Data Engineer - Remote, with *1 day per week in office*

We are seeking an experienced Data Engineer / Data Scientist (AI/ML) to design, build, and deploy scalable data pipelines and AI/ML solutions on AWS. The ideal candidate will have strong expertise in Python development, ETL orchestration, AWS data services, Large Language Model (LLM) application engineering, and cloud-native architecture. The role requires hands-on experience in building production-grade AI solutions, implementing robust testing practices, and collaborating with cross-functional

Data Engineer Contractor AWS / OraclePosition OverviewWe are seeking a hands-on Data Engineer Contractor to support our Reporting Instance (RI) and Self-Managed Hosting (SMH) project initiatives. The engineer will be responsible for developing and supporting scalable data pipelines, ETL processes, data validation, batch processing, and AWS-based data solutions. The ideal candidate has strong experience with AWS Glue, AWS Lambda, Oracle SQL/PL/SQL, and troubleshooting complex data environments.

Strong Python development skills Strong experience with AWS, including services such as Lambda, EventBridge, Glue, and other core AWS offerings Deep expertise in ETL design and development, with experience building scalable data pipelines Strong SQL skills, including writing and optimizing complex queries Experience with Kafka integration and event-driven architectures Overall familiarity with modern cloud-based data engineering best practices.

We are seeking a highly skilled, solution-oriented Senior Data Integration Engineer with deep expertise in modern data engineering, cloud-native architectures, and robust pipeline development. In this role, you will be a senior technical driver in creating, optimizing, and modernizing advanced data integration systems. You will collaborate closely with product, engineering, and architecture teams to bridge raw source environments and analytical databases. If you excel in cloud ecosystems, thrive