Senior Data Engineer

Vincere; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Optum is seeking a Senior Data Engineer to design and maintain data pipelines that extract, transform, and load data into centralized storage. You will ensure data quality and partner with Data Analytics, BI, and Data Science teams to build a scalable analytics platform.

You will integrate data from diverse sources, apply transformations, and support production systems while advancing cloud-based architectures and governance practices.

Responsibilities

• Data Integration: Integrate data from multiple sources and systems, including databases, APIs, log files, streaming platforms, and external data providers.
• Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data; prepare data for analysis, reporting, or ML tasks.
• Contribute to common frameworks and best practices in code development, deployment, and automation/orchestration of data pipelines
• Implement data governance and data de-identification framework in line with company standards
• Partner with Data Analytics and Product leaders to design best practices and standards for analyt ic pipelines
• Partner with Infrastructure leaders on architecture to advance the data and analytics platform, exploring new tools and cloud tech (Azure, Snowflake)
• Monitoring and Support: Monitor data pipelines and data systems to detect issues, develop monitoring tools and automated error handling

Job description

Optum intro standard 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.

Do you want to impact decisions to help people live healthier lives? Are you an innovative Data Engineer who thrives on developing new solutions to solve tough challenges?

We want to achieve more in our mission of health care, and so we have to be really smart about the business of health care. At Optum, we're changing the landscape of our industry. You will put your Data Engineering skills to work as you empower business partners and team members improve healthcare delivery.

As a Senior Data Engineer , you will be working on developing and maintaining 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. In addition to having an impact on a great team, you'll also discover the career opportunities you'd expect from an Industry Leader. You will also work closely with the Data Science and Business Intelligence teams to develop a new, cutting-edge big-data analytic platform and that will support advanced solutions to improve health outcomes for our members.

You'll be in the driver's seat on vital projects that have strategic importance to our mission of helping people live healthier lives. Yes, we share a mission that inspires. And we need your organizational talents and business discipline to help fuel that mission.

Primary Responsibilities:

• 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 and data de-identification framework in line with company standards
• Partner with Data Analytics and Product leaders to design best practices and standards for developing and productionising analytic pipelines
• Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools (including AI) and techniques that leverage the cloud environment (Azure, Snowflake, others)
• 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:

• Proven extensive experience designing data solutions including solid understanding of architectural patterns, system design principles, data modelling, and large-scale solution development
• Proven extensive hands‑on experience developing data processing jobs (PySpark /SQL) that demonstrate a solid understanding of software engineering principles
• Proven experience with Azure Databricks and Snowflake
• Proven experience orchestrating data pipelines using technology like ADF, Airflow, etc.
• Proven experience working with Spark
• Demonstrated advanced SQL skills and deep experience with relational databases (e.g., SQL Server), including optimization, stored procedures, and performance tuning for high-volume applications
• Proven experience with DevOps tools, Git workflow and building CI/CD pipelines
• Demonstrated experience applying data governance controls, data masking, and data de‑identification rules within a highly regulated environment
• Demonstrated excellent communication and interpersonal skills, with the ability to effectively convey technical concepts to both technical and non‑technical stakeholders

Preferred Qualifications:

• Proven experience analyzing and improving workflows by evaluating process maps and flowcharts, identifying inefficiencies, and recommending enhancements to workflows, procedures, technology, and tools
• Demonstrated familiarity with scripting languages like Java or Scala
• Proven ability to be a motivated self‑starter who excels at managing their own tasks and takes ownership
• Proven experience working on projects with agile/scrum methodologies
• Proven ability to be well versed in Python regarding data manipulation, cleaning, transforming, and analyzing structured data to support our data‑driven initiatives
• Demonstrated familiarity with production quality ML and/or AI model development and deployment

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.

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 marginalized 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.