Sr. Data Engineer (ETL, Python, Restful APIs, Cloud)

Job Responsibilities

• Perform all phases of software engineering including requirements analysis, application design, code development, and testing
• Design and implement performance and operational enhancements
• Design & develop reusable components, patterns, and frameworks, encouraging innovation that will enable team velocity
• Review code and provide feedback relative to best practices and performance improvement
• Conduct design and code reviews to ensure that developed code meets software engineering best practices and guidelines, unit testing, security, and scalability and maintainability guidelines
• Participate in Agile/Scrum methodology to deliver high-quality software release
• Work with a team of software engineers for one or more Agile scrum teams assigned to work on the project
• Troubleshoot production support issues of post-deployment and design solutions as required
• Design, code, test, debug, and document software, whilst enhancing existing components to ensure that software meets business requirements
• Work very closely with architecture groups to drive software solutions
• Contribute to the design and architecture to enable secure, scalable, and maintainable software and be able to clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership
• Collaborate on design with other team members and product owners, both inside and outside of the scrum team.

Job Qualifications

• 5+ years of hands-on experience with cloud data services (AWS, Azure, or GCP)
• 5+ years of experience in Python
• 5+ years of experience building and maintaining ETL/ELT pipelines in enterprise environments
• 5+ years of experience integrating with RESTful APIs
• 5+ years of experience with Agile methodologies (Scrum, Kanban)
• Knowledge of data governance, security, privacy, and vulnerability management
• Understanding of authorization protocols (OAuth) and API integration
• Solid proficiency in SQL, NoSQL, and data modeling
• Proficiency with open-source tools such as Apache Flink, Iceberg, Spark, and PySpark
• Advanced Python skills for data engineering and data science (beyond Jupyter notebooks)
• Familiarity with big data technologies such as Spark, Hadoop, and Databricks
• Ability to build modular, testable, and reusable data solutions
• Solid grasp of data engineering concepts including:
• Data Catalogs
• Data Warehouses
• Data Lakes (especially Iceberg)
• Data Dictionaries

What we offer

• Hybrid
• Laptop/Computer Provided by the Company
• Market Total Rewards Package
• Retirement Plan
• Medical Plan (HMO) from Day 1 of employment
• Dental, Medical, and Optical Reimbursements
• Life and Disability Insurance
• Paid Time-Off Benefits
• Sick Leave Conversion
• Tuition Fee Reimbursement
• Employee Assistance Program (EAP)
• Annual Performance Based Merit Increases
• Employee Recognition
• Training and Staff Development
• Employee Referral Program
• Employee Volunteerism Opportunity
• All Mandatory Statutory Benefits

Who we are

• Optum is the health care technology and innovation company of the UnitedHealth Group enterprise along with UnitedHealthcare.
• As part of a Fortune 5 enterprise, we are improving the health care experience of over 125 million people around the world.
• We're a diverse team with operations across North America, South America, Europe, Asia Pacific and the Middle East.
• This includes our over 25,000 employees in the Philippines. Elevate your career with a leading health care company while improving lives.