Senior Data Engineering Consultant

Caring. Connecting. Growing together.

Position Overview:

The Sr. Data Engineering Consultant is responsible for data acquisition strategies and integration scripting and tools, data migrations, conversions, purging and back-ups fulfills data acquisition strategy requirements. They work with product, financial control, analysts, users and other stakeholders to understand business requirements and supports data architecture to translate into data acquisition strategies. The Lead Data Engineer will author artifacts defining standards and definitions for storing, processing and moving data, including associated processes and business rules. Additionally, the Lead Data Engineer will map the details within these their artifacts to business processes, non-functional characteristics, QA criteria and technical enablement. The role is responsible to be constantly thinking through the needs of the business to support efficient and error free processes.

Primary Responsibilities:

• Performance Requirements:
  • The Sr. Data Engineering Consultant will be responsible for finding trends in datasets and developing workflows and algorithms to help make raw data more useful to the enterprise
  • Creating data acquisition strategy and develops data set processes
  • Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning and data destruction (scripts, programs, automation, assisted by automation, etc.)
  • Ensures quality of technical solutions as data moves across regional data environments
  • Provide insight into the changing data environment, data processing, data storage and utilization requirements for the company and offer suggestions for solutions
  • Ensures managed analytic assets support Optum's strategic goals by creating and verifying data acquisition requirements and strategy
  • Develop, construct, test and maintain architectures
  • Align architecture with business requirements and use programming language and tools
  • Identify ways to improve data reliability, efficiency and quality
  • Conduct research for industry and business questions
  • Deploy sophisticated analytics programs, machine learning and statistical methods
  • Prepare data for predictive and prescriptive modeling and find hidden patterns using data
  • Use data to discover tasks that can be automated
  • Create data monitoring capabilities for each business process and work with data consumers on updates
  • Aligns data architecture to Optum solution architecture contributes to overall solution architecture
  • Help maintain the integrity and security of the company data
  • Other - Performs other duties as assigned including personnel recruitment
  • Other - Performs people leadership responsibilities for Data Engineering function
• 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
• Over All 10+ years of experience
• Power BI Developmentknowledge or experience
• Expert in Revenue Cycle Management (RCM Domain)
• SQL expertise

Preferred Qualifications:

• Snowflakeexperience
• Proven Architecture mindset

Soft Skills:

• Excellent written and verbal communication skill
• Self-motivated and person who can work Independently
• Problem-solver