We are seeking a highly skilled and experienced Data Engineer / AI Builder to lead the development of scalable data infrastructure and pipelines that support our machine learning initiatives. This role is critical in enabling data-driven decision-making and deploying intelligent systems across the organization. You will collaborate with cross-functional teams to ensure data quality, model reliability, and infrastructure scalability.
Primary Responsibilities:
- Architect and build scalable, reliable data pipelines for batch and real-time ML workflows
- Design and manage feature stores, data lakes, and data warehouses optimized for ML use cases
- Collaborate with data scientists and ML engineers to deploy models into production environments
- Implement CI/CD pipelines for data workflows and model deployment
- Monitor and maintain data quality, pipeline health, and model performance in production
- Lead adoption of cloud-native data platforms and big data technologies
- Mentor junior engineers and promote best practices in data engineering and MLOps
- Ensure compliance with data governance, security, and privacy standards
- 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 or Master's degree in Computer Science, Data Engineering, or related field
- 5+ years of experience in data engineering or ML infrastructure roles
- Solid experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools
- Proficiency in Python, SQL, and one or more JVM-based languages (e.g., Scala, Java)
- Deep understanding of ML lifecycle, data versioning, and model deployment strategies
- Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, etc.)
- Proven excellent problem-solving, communication, and leadership skills
Preferred Qualifications:
- Experience with distributed computing frameworks (e.g., Spark, Dask)
- Hands-on experience with real-time data processing tools (Kafka, Flink)
- Exposure to data governance frameworks and compliance standards (GDPR, HIPAA, etc.)
- Knowledge of containerization and orchestration (Docker, Kubernetes)
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.
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What We Do
We’re the health care technology and innovation company of the UnitedHealth Group enterprise along with UnitedHealthcare. We’re a global organization that’s evolving health care so everyone can have the opportunity to live their healthiest life. With our hands across all aspects of health, we'll provide you with a rewarding career that enables you to grow in the directions that best fit your passions. This is your opportunity to be part of a team that’s dedicated to Caring. Connecting. Growing together.
Our global technology team consists of more than 30,000 innovators from around the world passionate about using technology to improve the lives of people and communities. We are modernizing the health care system through modern analytics, comprehensive clinical expertise, innovative technologies and extensive experience in improving operational and clinical performance.
As part of our team, you will be provided opportunities to channel your curiosity into initiative, working alongside distinguished engineers and developers pursuing innovations that improve the health care experience for everyone. We encourage you to dive in, explore and ask questions about creative ways to use technology to help make the health care system work like an actual system.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business, the responsibilities of a job, and your preference for more flexibility. These models are core on-site 5 days/week, hybrid 3 day/s week and telecommute or fully remote.
