Join Optum, a global leader dedicated to improving health outcomes through technology. Our team connects individuals with essential care, pharmacy benefits, and data resources to foster healthier lives. You'll thrive in an inclusive culture alongside talented colleagues, comprehensive benefits, and ample career development opportunities. Make a significant impact as we advance health optimization worldwide. We are currently seeking a Senior Full Stack Engineer to contribute to our mission.

Our commitment at UnitedHealth Group is to empower healthier lives and create a more effective health system for all. We strive to dismantle barriers to good health, particularly for marginalized communities and those with fewer resources. We are dedicated to environmental stewardship and delivering equitable care that addresses health disparities and enhances outcomes.

Lead engineering teams and review code, ensuring high-quality output and adherence to best practices. Engage in complex technical discussions and manage critical project timelines in a dynamic environment. Design and maintain scalable data pipelines, ETL/ELT workflows, and integration solutions. Define data modeling standards and architect robust platforms using Snowflake, Microsoft Fabric, and Azure data services. Drive the adoption of modern tools like Kafka, Airflow, Spark, Fabric, and Snowflake, while evaluating and integrating emerging technologies. Build and optimize batch and real-time data pipelines, ensuring performance, cost efficiency, and scalability. Implement data validation, governance frameworks, and ensure compliance with standards such as HIPAA and GDPR.

Collaborate with business and engineering teams to deliver scalable solutions and translate business needs into technical designs. Implement cloud-based solutions, manage CI/CD pipelines, IaC with Terraform, and optimize cloud costs. Ensure pipeline reliability, manage incidents, and conduct root cause analysis. Define service level agreements and maintain monitoring systems. Contribute to the data roadmap and platform modernization efforts, enhancing data accessibility and aligning with long-term business objectives.

A Bachelor's degree or equivalent experience is required. Candidates should possess over 7 years of experience in Data Engineering, with a strong command of ETL/ELT processes using SQL, Python, and Spark/PySpark. Significant expertise in Snowflake, including modelling, performance tuning, Snowpipe, Streams, and secure sharing, is essential, complemented by at least 4 years of experience with the Azure ecosystem (ADF, Synapse, ADLS, Purview) and Snowflake. A minimum of 2 years in DevOps practices, including CI/CD, Git, Terraform, Docker, and Kubernetes, is necessary. Experience with Kafka/Event Hubs and Airflow/Fabric pipelines is also expected. Familiarity with data modelling, Lakehouse/data lake architectures, NoSQL systems, data governance, metadata, lineage, and compliance standards is crucial.