Senior Data Engineer

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.  

Position:

• Data Engineer, SG 26
• Work timing/hours - US CST (3-4 hours overlap)
• Work timing/hours US CST during training

Primary Responsibilities:

• Use RPA tools to develop, test, implement, and maintain web scraping bots
• Crawl/query the payer policy page/site to identify links to content in scope
• Extract, transform, and parse data from webpages, PDFs, spreadsheets, and word documents into standardized format and file type
• Deliver output to SQL DB, and AWS S3
• 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:

• Bachelor's degree in computer science or related engineering field
• 5+ years in ETL and Data Warehousing within Cloud environments (Azure / AWS)
• Knowledgeable of HTML and XML data's structure, type, attributes, relationships between parts, display, and meaning
• Proficient in writing Xpaths and regex queries
• Proficient in using C# or Python for data extraction and transformation
• Technical Skills:
  • Databases: Oracle, SQL Server
  • Programming & Scripting: SQL, Python, Scala
  • Cloud Platforms: Azure (preferred), AWS
  • Big Data Technologies: Apache Spark, Hadoop, Hive
  • Documentation: Ability to create and maintain technical documentation
  • Knowledge of Insurance claims data (U.S. Healthcare Insurance Payer)
  • Proven solid analytical and problem-solving abilities; aptitude for learning new technologies

Preferred Qualifications:

• Advanced SQL skills for querying and optimizing large datasets
• Knowledge of U.S. healthcare systems and standards (HL7, FHIR)
• Understanding of clinical processes and terminology
• Familiarity with SAS programming

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.