Senior Data Engineering Lead

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.

Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles. Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems. Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments. Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities. Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition. May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data. Selects, develops and evaluates personnel to ensure the efficient operation of the function. Generally work is self-directed and not prescribed.

Primary Responsibilities:

• Work with solution architects and other software engineers to evaluate functional and non-functional requirements and deliver creative, high quality solutions
• Design, develop, test and maintain data intensive applications including ETL, relational and non-relational data storage, APIs, UI and data application development
• Follow and improve on processes for continuous delivery and DevOps within your team
• Build and main configuration management and automation tools, deployment strategies/processes, monitoring tools
• Experienced in Software Engineering practices like Reliability Engineering, Deployment planning, Fault Tolerant architecture, Test Automation
• Collaborate on quality strategies that ensure our data platform is correct, resilient, scalable and secure
• Participate in and provide input for system analysis, design walkthroughs and code reviews
• Participate in defect review and triage
• Adhere to design/coding standards and constantly improve the way we build and deliver software
• Technical analysis of existing reporting solutions to identify opportunities for improvement both from a best practice and quality/ performance improvement perspective
• Drive continuous improvement and automation solutions and processes
• Maintain the production products, solutions, documentation, and environments to ensure optimal health, including resolving production issues and responding quickly to priority problems
• Works with less structured, more complex issues
• Serves as a resource to others
• 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

• Graduate degree or equivalent experience
• Experience: 10+ years of professional front-end/back-end development and tech lead experience
• Technical Skills:
  • Hands on with Data Engineering (Azure, Spark, Databricks using Scala/Python and Data Factory)
  • Exposure with Power BI (any other fronend tool/application)
  • Solution Architecture: Design, implement and integrate with required data security
  • Ensure cross-browser compatibility and optimize applications for performance and scalability
  • Design, develop, and maintain server-side applications and services
  • Work with databases (SQL or NoSQL) to manage and query data efficiently
  • Experience with version control systems (e.g. Git)
  • Familiarity with Agile development methodologies and testing automation

• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Experience with Azure Data Engineering Certifications
• Knowledge of containerization and orchestration tools
• Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines
• Collaboration: Proven solid interpersonal skills with the ability to work effectively across different teams and stakeholders
• Problem-Solving: Proven excellent analytical and problem-solving skills with a keen attention to detail