Data Engineer

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

At UnitedHealth Group and Optum, we want to make healthcare work better for everyone. This depends on hiring the best and brightest. With a thriving ecosystem of investment and innovation, our business in Ireland is constantly growing to support the healthcare needs of the future. Our teams are at the forefront of building and adapting the latest technologies to propel healthcare forward in a way that better serves everyone. With our hands at work across all aspects of health, we use the most advanced development tools, AI, data science and innovative approaches to make the healthcare system work better for everyone. Careers with Optum offer flexible work arrangements and individuals who live and work in the Republic of Ireland will have the opportunity to split their monthly work hours between our Dublin or Letterkenny office and telecommuting from a home-based office in a hybrid work model.

Design, build and implement automation processes for production release of data engineering, machine learning and business intelligence processes Write code, and leverage tools, to transform data to incorporate business logic as defined in conjunction with the Optum business and technology partners Design, code, test, document, and maintain high-quality and scalable Big Data solutions Analyze raw data sources, data transformation, structural requirements for new software and application Migrate data from legacy systems to new solutions Design conceptional and logical data model and flowcharts Define security and backup strategy for data solutions Design, build and implement real time / near real time data pipelines Design and prototype data monitoring models for pipeline Write technical documentation You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in.

Proven extensive experience in Data Engineering Proven experience working with data processing technologies and SQL database platforms Demonstrated advanced SQL proficiency Proven experience working with relational and non-relational database technologies Proven experience implementing ETL solutions and applying data warehousing, data modeling, and architectural principles within large-scale environments Demonstrated working knowledge of public cloud platforms, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP), and developing applications within Linux environments Proven experience working with Hadoop, Snowflake, Vertica, Redshift, Synapse, or similar data platforms Proven experience utilizing Spark and Databricks to support data processing and machine learning workloads Proven experience implementing data pipeline orchestration solutions using Apache Airflow, including Airflow operators and hooks Proven experience designing, implementing, and supporting data applications using Kubernetes and Docker Proven hands-on experience with Python, with demonstrated experience using Java, Scala, or similar programming languages Proven experience working within Agile and Scrum delivery environments Other useful skills and experience include: Proven experience developing solutions hosted on major cloud platforms, including Microsoft