Senior Data Analytics Engineer - Remote
About The Position
Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together. The Fraud Retrospective Product provides analytic application development and support and consulting for Optum Payment Integrity. Our analytics team works with our business partners to support data ingestion and analytic processes identifying potential fraudulent activity. Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activities across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product road maps. Our Senior Software Engineer position will develop new analytics, enhance existing analytics, and maintain and improve the applications that support these analytics. Additionally, this position will have the opportunity to conduct analysis research and consulting for new project initiatives across the portfolio the team supports. Currently most analytics are written in SAS executing in a SAS Grid / Unix environment, but the team is transforming these analytics leveraging open-source tools like Azure, Python, Scala, Spark.
Requirements
- 3+ years of experience with SAS
- 3+ years Relational Database experience - Oracle, Teradata, MySQL, and/or Snowflake
- 3+ years of analysis, process, problem solving and critical thinking experience
Nice To Haves
- 1+ years of Healthcare Data Experience
- UNIX
- Azure, Python, Spark, or Databricks Experience
- Experience with SQL
- Experience with VS Code and GitHub Copilot for AI-assisted development
- Experience with Agile/Scrum methodology
Responsibilities
- Provide realistic effort estimates and project timelines for development and support projects
- Interpret business requirements and functional specifications and create technical design and technical specifications documents
- Develop analytic processes following existing standard structures and macros. Develop for a production environment
- Conduct data extraction and research studies that may include analyzing, reviewing, trending, and presenting information, based on provided specifications, to support adhoc data request
- Work with business engagement leaders and technical analysts to develop new and modify existing process documentation and templates
- Conduct analyses of data elements within existing source data mart schemas
- Analyze healthcare claims from different data sources and identify data integrity issues
- Perform unit, system and regression testing for programs for quality assurance
- Performance tuning of existing applications and analytics
- Guide and advise developers to identify and improve the efficiency of current programming practices
- Contribute to knowledge sharing, ideas and information relating to technologies and be a key technical expert within the team
- Lead/Mentor new and existing team members
- Continually identify deficiencies in production processes, propose enhancements, and implement those enhancements to increase productivity or reduce manual effort
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
