About the Role:
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.
Working Schedule:
This is a full-time hybrid position with standard working hours of Monday - Friday, standard business hours.
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.
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 productionalizing analytic pipelines.
Partner with Infrastructure leaders on architecture approaches to advance the data and analytics platform, including exploring new tools 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.
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.
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.
Proven Data Architecture experience.
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.
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. © 2026 Optum Services (Ireland) Limited. All rights reserved.
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