Data Engineering Consultant

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

• Provide technical leadership and build in architecture, design and engineering of Data Ingestion, ETL. AI and Database to new technologies in the Public Cloud (Azure), Big Data and API Space
• Lead the technology transformation from our legacy Data and Analytic platforms to a Big Data Cloud based Modern Software paradigm. Be innovative in solution design and development to meet the needs of the business
• Understands security threats and patterns comprehensively and ensures adherence to all regulatory initiatives. HIPPA, PHI, PII, locational data restrictions, contractual etc.
• Contribute towards inner source to save significant $ savings and educate/encourage other teams across portfolios to use the inner source code in their products
• Create a common framework and repository for the development of Modern APIs available to the Optum Product Engineering Team
• Demonstrate leadership in the context of software engineering and be an evangelist for engineering best practices
• Create next generation streaming applications to use our Data as a strategic platform to grow the top line revenue
• Stay abreast of leading-edge technologies in the industry evaluating emerging software technologies
• Work collaboratively with all business areas to assess unmet/new business needs and solutions
• Encourage the growth of junior engineers on the team through skills development, mentoring and technical guidance
• Create a startup mentality to accelerate the introduction of new capabilities and transform teams
• Avid supporter of the Open Source software community
• Display a solid desire to achieve and attain high levels of both internal and external customer satisfaction
• 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
  
  

• Engineering graduate in Computer Science or equivalent stream
• 7+ years of software product development experience working on commercially available software and / or healthcare platforms
• 2+ years of solid experience designing and building Enterprise Data
• 1+ years of experience developing AI solutions hosted in Azure
• Subject matter expert on Cloud, Databricks and AI technologies preferably Azure solutions on cloud
• Experience in AI/ML will be preferred
• Experience with Data warehousing services on Azure
• Experience in using modern software engineering and product development tools including Agile / SAFE, Continuous Integration, Continuous Delivery, DevOps etc.
• Solid experience of operating in a quickly changing environment and driving technological innovation to meet business requirement
• Proven track record of building relationships across cross-functional teams
• Proven excellent time management, communication, decision making, and presentation skills