Optum

Data Engineer (Healthcare Economics)

Job description

Data Engineer - Dublin, 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

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.

As a Data Engineer at Optum, you will play a crucial role in enhancing our Consumer Analytics capabilities. Your focus will be on streamlining information flow to facilitate easier decision-making for members and reduce healthcare costs. You will be integral to the team tasked with migrating consumer data to the cloud and enhancing this data by integrating new sources. This will not only refine the accuracy of our predictive models but also increase organisational efficiency. You will also be responsible for devising robust data solutions and contributing to the creation of strategic data plans.

The successful candidate will collaborate cross-functionally with various business and data analytics teams. Your work will be instrumental in lowering the overall cost of healthcare for our consumers and helping people live healthier lives.

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 office and telecommuting from a home-based office in a hybrid work model.

Primary Responsibilities Of The Data Engineer

  • Developing and maintaining data pipelines that extract, transform and load (ETL) data from various sources into a centralised data storage system, such as a data warehouse or data lake
  • Ensuring smooth slow of data from source systems to destination systems while adhering to data quality and integrity standards
  • Integrating data from multiple sources and systems, including databases, APIs, log files, streaming platforms and external providers
  • Applying data processing techniques to handle complex data structures, handle missing or incomplete 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 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

You will be rewarded and recognised 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.

Required Qualifications Of The Data Engineer

  • Bachelor’s degree in a relevant field, or equivalent experience
  • Demonstrable experience with data mining
  • Hands on experience developing data pipelines that demonstrate a strong understanding of software engineering principles
  • Proficiency in SQL and experience with an object-oriented / object functional scripting language: Python, Scala, Java, etc.
  • Understanding of DevOps tools, Git workflow and building CI/CD pipelines
  • Demonstrated effective project ownership, management, drive & delivery

Preferred Qualifications Of The Data Engineer

  • Experience with Snowflake or Databricks
  • Proven hands-on experience of developing big data processes using big data tools - such as Spark, Hadoop, Kafka, etc.  
  • Experience in ETL / ELT tools
  • Experience in orchestration tools ADF / Airflow
  • Experience building data pipelines on either AWS, Azure or GCP, following best practices in Cloud deployments
  • Experience working in projects with agile/scrum methodologies

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. © 2023 Optum Services (Ireland) Limited. All rights reserved.

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