Data Engineer

Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA Summary A Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures that enable analytics, reporting, and data-driven decision-making. This role ensures data availability, quality, security, and performance across enterprise systems while supporting business intelligence and advanced analytics initiatives. Key Responsibilities Design, develop, an

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined

Data Engineering, including building data pipelines, integrations, ETL, data governance, and related aspects using Databricks, Python, PySpark, Azure

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