Key skills
Data EngineeringETL DevelopmentBig Data PlatformsSQLPostgreSQLMySQLAzure Cloud PlatformCI/CDDevOpsML OpsData ModelingSchema DesignMetadata ManagementBig Data TechnologiesPySparkScala SparkHiveHadoopNoSQLData WarehousingPythonScalaData SecurityData GovernanceCompliance StandardsBatch Data ProcessingReal-time Data ProcessingData Pipeline AutomationAIMLETLELTSparkAzurePostgres
About this role
Optum is a global leader in health care innovation, developing solutions that enhance health systems and improve lives. The Data Engineer role involves designing database architecture, implementing data pipelines, and collaborating with teams to deliver AI/ML-driven solutions.
Responsibilities:
- Design and optimize database architecture, data models, and schemas
- Implement and maintain data pipelines (ETL/ELT) for large-scale data processing
- Develop and manage data solutions on PaaS and cloud ecosystems
- Ensure scalability, security, and performance of data platforms
- Perform needs assessments and enforce strict data quality standards
- Support compliance with organizational and regulatory requirements
- Build and deploy optimized solutions using Big Data technologies
- Collaborate with Data Scientists and Analysts to deliver AI/ML-driven solutions
- Lead projects independently, manage technical deliveries, and mentor junior engineers
- Drive knowledge-sharing sessions and capability development within the team
- Manage relationships with software/hardware vendors for architectural impact
- Work closely with enterprise teams for requirement gathering and solution design
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
- 5+ years of experience in data engineering, ETL development, and big data platforms
- Experience with SQL/Postgres/MySQL
- Experience with Azure cloud platform
- Familiarity with CI/CD, DevOps, and ML Ops workflows
- Knowledge of data modeling, schema design, and metadata management
- Expertise in Big Data technologies (PySpark/Scala Spark, Hive/Hadoop/NoSQL) and data warehousing
- Solid proficiency in Python, Scala
- Demonstrated ability to implement data security, governance, and compliance standards
- Proven skilled in building and automating data pipelines for batch and real-time processing
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy