Sr Data Engineer - W2

Looking for Senior Data Engineer Worked on the ETL side, ETL Pipeline Google Cloud Platform cloud (other clouds are ok too but some experience in Google Cloud Platform is must ) PySpark is must, Scala optional but preferred, little bit of Python Data Streaming Pipeline (Kafka) experience is must Strong SQL side Minimum 8 yrs of Genuine Experience

Summary Join Guidewire's Data Platform and Analytics team, a group dedicated to building and operating our cloud-native, enterprise-grade data platform that powers mission-critical insights for the world's leading P&C insurers. Our team thrives on collaboration, innovation, and a shared commitment to operational excellence, leveraging the latest in Big Data and cloud technologies to deliver scalable, secure, and reliable solutions. We work in a hybrid environment based in San Mateo, focused on

Data Engineer Candidate must be in SFO, CA Long term contract - JD Summary: 10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration Hands on expert experience in the AWS Data Engineering Tech Stack: S3, Glue, Airflow, SQL, Python, PySpark, Lambda, RDS, Redshift, EMR, and API Gateway Detailed experience with data modeling and data integration (ETL/ELT) Data Product knowledge and experience Role Job Description:- 10+ years of

. Our client seeks a Data Engineer (Remote). Please look at the job description, and if you are available, feel free to contact me at . W2/1099 Role: Data Engineer (Remote) Financial Client (Direct Client) Location: New York Duration: 9+ Months Job Description: As a Data Engineer, you'll lead efforts to onboard and model datasets on modern cloud data platforms, delivering reliable pipelines and high-quality data layers that serve analytics, reporting, and ML/AI workloads. Responsibilities: I