Data Engineer

Data Engineer - Ireland, Hybrid
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.
About the role:

As a Fortune 5 business, we're one of the world's leading healthcare companies.
There are no limits here on the resources you'll have or the challenges you'll encounter.
We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals.
With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding team's healthcare system work better for everyone.
As a Data Engineer, this individual will help on streamlining the flow of information and deliver insights to manage Stars Analytics that are focused on making decisions easier for members and help save members on healthcare costs.
This specific team will be working on Medicare & Retirement data migration to the cloud and enriching data with new sources to improve accuracy of predictive models and drive organisational efficiencies and save hard costs.
This individual's work will contribute to lowering the overall cost of healthcare for consumers and helping people live healthier lives.
This individual will put their Data Engineering skills to work as they empower business partners and help to improve the healthcare system.
This individual will research cutting edge big data platforms, tools, and design innovative solutions to solve business problems that only a Data Engineering can
Primary Responsibilities of Data Engineer:


Data Pipeline Development:
Develop and maintain data pipelines that extract, transform, and load (ETL) data from various sources into a centralized data storage system, such as a data warehouse or data lake.
Ensure the smooth flow of data from source systems to destination systems while adhering to data quality and integrity standards.
Data Integration:
Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.
Handle data ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting.
Data Transformation and Processing:
Develop data transformation routines to clean, normalize, and aggregate data.
Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis, reporting, or machine learning tasks.
Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines.
Implement data governance in line with company standards
Monitoring and Support:
Monitor data pipelines and data systems to detect and resolve issues promptly.
Develop monitoring tools, alerts, and automated error handling mechanisms to ensure data integrity and system reliability.
Required Qualifications of Data Engineer:


Hands-on experience developing data pipelines that demonstrate a strong understanding of software engineering principles
Ability to debug complex data issues while working on very large data sets with billions of records
Fluent in SQL, with experience using Window functions and more advanced features
Understanding of DevOps tools, Git workflow and building CI/CD pipelines
Ability to work with business and technical audiences on business requirement meetings, technical white boarding exercises, and SQL coding/debugging sessions
Well versed in Python, in fulfilling multiple general-purpose use-cases, and not limited to developing data APIs and pipelines

Preferred Qualifications of Data Engineer:


Experience with Snowflake or Databricks
Experience with relational data models and OLAP processing
Experience building data pipelines on either AWS, Azure or GCP, following best practices in Cloud deployments
Familiar with Airflow or similar orchestration tool
Experience working in projects with agile/scrum methodologies
Experience with shell scripting languages
Experience with JavaScript/ReactJS/NodeJS
Experience working with both real-time and batch data, knowing the strengths and weaknesses of both and when to apply one over another

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.
Proof will be required to support your application.
All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone.
We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life.
Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalised groups and those with lower incomes.
We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere:
Optum is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, civil status, family status, sexual orientation, disability, religion, age, race, and membership of the Traveller community, or any other characteristic protected by law.
Optum is a drug-free workplace.
© 2024 Optum Services (Ireland) Limited.
All rights reserved.
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