Design and maintain scalable ETL/ELT pipelines, data warehouses, and big data infrastructure. Optimize databases and workflows, implement data quality and governance frameworks, automate testing and deployment, troubleshoot complex data issues, and ensure reliable systems. Collaborate with data scientists, analysts, and business teams to support analytics and machine learning. Mentor junior engineers and establish data engineering best practices.
Requisition Number: 2374423
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:
Required Qualifications:
Preferred Qualifications:
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.
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:
- Design & Build Data Infrastructure: Develop and maintain scalable data pipelines (ETL/ELT) for large-scale data processing
- Data Architecture: Lead architectural decisions for data warehousing and big data solutions
- Optimize Performance: Improve database performance, query efficiency, and data workflows
- Data Quality & Governance: Implement frameworks for data validation, monitoring, and compliance
- Collaboration: Work with data scientists, analysts, and business teams to enable analytics and machine learning
- Mentorship: Guide junior engineers and promote best practices in data engineering
- Automation & Deployment: Create automated testing and deployment processes for data systems
- Troubleshooting: Resolve complex data issues and ensure system reliability
- 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:
- Undergraduate degree or equivalent experience
- 9+ years of experience
- ETL Tools & Big Data: Hands-on experience with Spark, Hadoop, or similar frameworks
- Cloud Platforms: Azure, (or GCP) experience
- Containerization & Orchestration: Knowledge of Docker, Kubernetes
- Distributed Systems: Knowledge of data partitioning and parallel processing
- Data Security & Compliance: Familiarity with GDPR, HIPAA, or similar standards
- Data Modeling & Warehousing: Expertise in relational and NoSQL databases
- Programming: Solid in Azure Databricks, Python/Scala, ADF, Airflow, SQL; experience with Snowflake is a plus
Preferred Qualifications:
- Streaming Technologies: Knowledge of Kafka or similar message queuing systems
- Knowledge of Snowflake
- Knowledge of AI and Machine Learning Deployment: implementing AI solutions (RAG development, Agents creation), Exposure to ML model integration
- Knowledge of CI/CD for Data: Jenkins or other DevOps tools for data workflows
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.
Optum Chennai, Tamil Nadu, IND Office
Chennai, India, India
Similar Jobs at Optum
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Principal Software Engineer leading architecture and hands-on delivery of secure, scalable cloud, data, and AI solutions. Responsibilities include designing AI-powered products, distributed systems, data pipelines, and enterprise platforms; guiding MLOps and LLMOps; driving DevOps, observability, security, and governance; resolving complex technical challenges; and mentoring engineers and technical leaders across multiple teams.
Top Skills:
.NetAgent Orchestration FrameworksSparkArmAWSAzure Ai FoundryAzure Ai SearchAzure Data FactoryAzure DatabricksAzure DevopsAzure FunctionsAzure Kubernetes ServiceAzure Machine LearningAzure OpenaiAzure SqlAzure SynapseBicepC#Ci/CdCosmos DbDockerEvent HubsEvent-Driven ArchitectureGithub ActionsGoogle Cloud PlatformGptInfrastructure As CodeJenkinsKnowledge GraphsKubernetesLakehouseLlmopsMicroservicesAzureMlflowMlopsNoSQLPythonRagReactRest ApisScalaSQLTerraformTypescriptVector DatabasesVector Search
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead end-to-end delivery of enterprise conversational AI platforms, including chatbots, voice bots, and virtual assistants. Design scalable cloud-native solutions using Amazon Lex, Dialogflow, CI/CD, Terraform, and responsible AI practices. Drive Agile execution, stakeholder alignment, operational excellence, and AI adoption while mentoring engineers and technical leads. Partner with product, architecture, security, and business teams to deliver secure, compliant, and innovative AI solutions.
Top Skills:
Agentic AiAmazon ConnectAmazon LexAWSAzureCcaasCi/CdDevOpsDevsecopsFive9GenesysGoogle AdkGCPGoogle DialogflowLlmsNiceNode.jsPythonRagTerraformTypescript
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads engineering delivery for enterprise conversational AI platforms, including chatbots and voice bots. Oversees Agile execution, technical architecture, cloud-native development, CI/CD, Terraform, DevSecOps, Responsible AI, and AI adoption. Partners with product, security, architecture, and business stakeholders while managing risks and dependencies. Mentors engineers and technical leads, supports hiring and performance management, and ensures scalable, secure, compliant, and operationally excellent solutions.
Top Skills:
Agentic AiAidlcAmazon ConnectAmazon LexAWSAzureCcaasChatbotsCi/CdCloud-Native ArchitecturesConversational AiDevOpsDevsecopsFive9Generative AiGenesysGoogle AdkGCPGoogle DialogflowKanbanLlmsNiceNode.jsPythonRagResponsible AiScrumShift-LeftTerraformTypescriptVirtual AssistantsVoice Bots
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
