Data Engineer

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities
Partner closely with product owners, system analysts, and engineering teams to deliver data solutions aligned with an Agile roadmap
Collaborate with data architects and platform engineers to translate functional and non-functional requirements into scalable, high-quality data architectures
Design, build, test, and operate data-intensive systems, including streaming and batch pipelines using technologies such as Databricks, Kafka, Snowflake, and cloud-native storage solutions
Develop and maintain ETL/ELT pipelines, data transformations, and orchestration workflows using Python, SQL, and distributed processing frameworks
Implement and continuously improve CI/CD, DevOps, and DataOps practices to enable reliable, automated deployments of data pipelines and analytics workloads
Build and maintain configuration management, infrastructure automation, deployment strategies, and monitoring/observability tools for data platforms
Apply software and data engineering best practices, including reliability engineering, fault-tolerant architecture, performance tuning, and automated testing
Participate in incident management processes, root cause analysis, and remediation using tools such as ServiceNow
Define and execute data quality, governance, security, and resilience strategies to ensure trusted and compliant data products
Support data solutions throughout the entire SDLC, from design and development through production deployment and operational support
Participate in design reviews, architecture discussions, code reviews, defect triage, and performance optimization efforts
Adhere to established data modeling, coding, and platform standards, while continuously improving how data solutions are built and delivered
Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks. Evaluate emerging trends to drive continuous improvement and strategic innovation.
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications
Bachelor's degree in Engineering, Computer Science, or equivalent practical experience
4+ years of experience designing and implementing cloud-based data solutions
Experience building data-intensive systems in public, private, or hybrid cloud environment
Experience with modern data and platform technologies, including (or similar to):
Azure Databricks
Apache Kafka (or equivalent streaming platforms)
Snowflake
GitHub and GitHub Actions
Solid understanding of version control, CI/CD pipelines, and automated deployment practices for data platforms
Solid proficiency in SQL for data querying and transformation, along with hands-on experience in Python and/or Scala for data engineering workloads
Proven ability to collaborate effectively within Agile, distributed, and onshore/offshore teams
Preferred Qualifications
Relevant cloud certifications, especially Microsoft Azure certifications such as Azure Data Engineer Associate
Understanding of data modeling techniques (conceptual, logical, and physical) and deep knowledge of data warehousing architectures and best practices
Working knowledge of RESTful APIs and data integration patterns
Proven excellent analytical and problem-solving skills, with the ability to think creatively and deliver innovative data solutions in collaboration with delivery teams
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.

Work arrangement
No