Data Engineer (PySpark, Plantir)

Only W2 profileWe are looking for a skilled Data Engineerto design, build, and maintain scalable data pipelines and data platforms across Azure and Google Cloud Platform cloud environments. The ideal candidate will have strong hands-on experience with PySpark and Python, and a solid understanding of big data processing, ETL frameworks, and cloud-native data services. Key Responsibilities:Design, develop, and maintain scalable data pipelinesusing PySpark and Python Build and optimize ETL/ELT work

Title: Databricks Architect Location: Cincinnati, OH Role Overview: We are looking for a Databricks Architect to spearhead a strategic migration initiative from Informatica (Or any similar ETL) to Azure Databricks. The ideal candidate will have deep expertise in Databricks integration, PySpark, and Unity Catalog, combined with strong data engineering fundamentals. This role requires working closely with multiple migration pods and bringing best practices for large-scale migration projects, ensur

Note: Primarily remote within the US, but travel may be required (up-to 40%), and deployments will likely be structured regionally as initiatives are confirmed. Travel Expense will be Reimbursed by the Client.Job Summary: o We are seeking a Senior Data Engineer with strong experience leading enterprise-scale data migration and system consolidation programs. This role involves migrating legacy ERP and enterprise systems to modern cloud data platforms while designing scalable data pipelines and in

Sr. Data EngineerIntroduction: As a Sr. Data Engineer on the Data Analytics Team, you will play a vital role in building a strong data ecosystem to support a new company-wide business intelligence and analytics environment. You will be responsible for designing and developing standardized datasets, implementing ETL/ELT processes, and creating scalable solutions to support data pipelines. Responsibilities: Troubleshoot and develop solutions to data engineering problemsCollaborate with team member