Join Optum, a global leader dedicated to improving health outcomes through technology. As a Data Engineer, you will play a crucial role in building and maintaining scalable data pipelines and platforms essential for analytics, reporting, and AI/ML initiatives. This position offers the opportunity to tackle complex data challenges, collaborate with diverse stakeholders, and contribute to the advancement of enterprise data solutions within a supportive and inclusive culture. Embrace a career where you can make a tangible impact on global health optimization.

Design, develop, and manage robust data ingestion, transformation, and integration pipelines. Optimize ETL/ELT workflows to process diverse datasets from multiple origins. Translate business and customer requirements into effective technical data solutions. Address and resolve complex data engineering problems and non-standard data challenges. Develop and uphold data models, quality frameworks, and validation processes. Collaborate with data analysts, scientists, product teams, and business leaders to deliver high-quality data assets.

A Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field is required. Possess at least 3 years of experience in data engineering, software engineering, or big data development, with a strong background in ETL/ELT pipeline development and large-scale datasets. Proficiency in SQL and Python for data processing is essential. Experience with cloud data platforms like Azure, AWS, or Google Cloud, along with knowledge of data modeling, quality, and governance principles, is expected. Excellent analytical, problem-solving, communication, and stakeholder collaboration skills are a must.