Optum: A Global Organization Delivering Care with Technology
We are a global organization that uses technology to deliver care, helping millions of people live healthier lives. Our work directly improves health outcomes by connecting people with the care, pharmacy benefits, data, and resources they need to feel their best.
We have a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. We're committed to advancing health equity on a global scale.
As a Fortune 5 business, we're one of the world's leading healthcare companies. We have no limits on resources or challenges.
We've been supporting global healthcare systems from Ireland and the UK for over 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With continued growth and stability, we're always looking for fresh talent to join our expanding teams.
Senior Data Engineer Role
You will work with the Provider Growth team, responsible for connecting and analyzing existing data assets across the enterprise and building new data pipelines. You will ensure data connectivity to craft client-centric qualification and origination strategies.
You will participate in efforts to grow the Provider Growth pipeline and coordinate campaign/outreach activities in support of predicted customer need. This involves working with data scientists to support feature engineering that connects and aggregates data in new ways.
You will work with data domain experts to understand what data exists and how to maximize and model it for the data science team building predictive models to enhance overall sales strategy effectiveness.
Responsibilities
1. Work with data domain experts to understand and link data across various domains (Operations, Product, Finance, Value Analytics, etc.)
2. Design data models to efficiently connect data across domains to support customer targeting analytics
3. Develop and maintain data pipelines: design, build, and manage data pipelines to ensure efficient data flow and integration across various systems
4. Ensure data accuracy and relevance: collaborate with data scientists and other cross-functional teams to ensure the accuracy and relevance of data used in sales strategies
5. Support feature engineering: work with data scientists to support feature engineering that connects and aggregates data across the enterprise
6. Optimize data infrastructure: continuously improve data infrastructure to support predictive models and enhance overall sales strategy effectiveness
7. Collaborate with cross-functional teams: work closely with teams such as Value Analytics, Ops, Product, and Finance to ensure seamless data connectivity and integration
Requirements
* Bachelor's degree in data engineering, computer science, information technology, or a related field
* Proficiency in programming languages such as Python, SQL, or Scala
* Experience with cloud-based technologies, data migration/automation, and data engineering practices
* Experience with ADF (Azure Data Factory), SSIS, or similar ETL tools
* Experience with data integration tools and platforms
PREFERRED QUALIFICATIONS:
* Familiarity with Salesforce and sales operations activities
* Knowledge of Clinical Solutions and/or Provider Revenue Cycle Management product and operations
* Familiarity with Optum's Provider technology &/or services solutions
* Experience working in projects with agile/scrum methodologies
Soft Skills:
* Ability to work collaboratively in a team environment
* Excellent analytical and problem-solving skills
* Effective communication skills to convey complex data insights to non-technical stakeholders
Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application.