Data Engineer

We are seeking an experienced Data Engineer with strong expertise in Google Cloud Platform (Google Cloud Platform), Apache Airflow, and Salesforce CPQ Design, develop, and maintain scalable ETL/ELT pipelines using Apache AirflowBuild data ingestion frameworks for Salesforce CPQ, Billing, ERP, and operational systemsSupport pricing, quoting, subscription, renewal, and revenue analyticsBuild data solutions for sales operations and finance reporting

Role: Google Cloud Platform Data Engineer Experience: 9-12 years Work Mode: Remote NOTE: Healthcare domain experience is mandatory Requiered Skills: Google Cloud Platform BigQuery, SQL, Apache Spark (DataSpark) Vertex AI Kafka, Dataflow, Vertex AI, ML Pipelines, Cloud Storage, Adobe Analytics, Python / Java / Node.js. Hands-on Expereince in data engineering or ML data engineering in a production Google Cloud Platform environment. Hands-on experience handling PHI under HIPAA: field-level encr

. 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

We are seeking a professional to design and build back-end services that support our portfolio of data-centric clinical and analytic applications. These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state-of-the-art software development applications and frameworks. Ensure that cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase.Work closely with the data e