Principal Data Engineer - Health Data Intelligence

At Oracle Health Data Intelligence (HDI), we combine the strengths of the OCI, the leading healthcare technology platforms from Oracle Cerner, Oracle Healthcare’s Product & Technology, Oracle Health Applications & Infrastructure and the mission of the Oracle Healthcare Global Business Unit. Oracle HDI organization has a rare opportunity to play a critical part in how Oracle Health impacts and disrupts the healthcare industry by transforming how healthcare and technology intersect. We are investing heavily in the healthcare industry by demonstrating our deep technical expertise to focus on making a global impact and filling a societal need which will improve the health experience for all.

 

You will be part of Oracle Healthcare’s Analytics Content Team. You will be working with a team of engineers in defining, designing, and delivering essential business intelligence interfaces to our customers in the health industry using the latest technologies on OCI. You should be able to understand broad systems interactions, be hands-on, be able to dive deep into any part of the Health Data Intelligence platform and have a good sense of cloud infrastructure. You should value simplicity and impact, work comfortably in a collaborative agile environment, and be excited to learn. Our senior engineers are also the people who can work independently and provide technical guidance to junior engineers. You should have experience developing and operating high-scale services that work against big data (billions of records) and an understanding of how to make these cloud-scale services resilient. You understand operational excellence and know-how to infuse a culture of being proactive within your team. You recommend and justify major changes to new and existing products and establish consensus with data-driven approaches. You take ownership of what you create from concept to ongoing customer satisfaction.

Career Level - IC4

We are looking for Data Engineers to join our team of healthcare analytics experts. The Data Engineer will work to create data products to meet diverse customer needs. The ideal candidate understands the appropriate structures and data modeling techniques to ensure reporting performance objectives are met. The Data Engineer will support the broader team and produce data content that address various needs with minimal duplication. The successful candidate will be excited to provide insights that help support the Health Data Intelligence mission of improving care delivery and health outcomes.

Responsibilities for Data Engineer:

• Satisfy requirements to facilitate reusable data analytics products.
• Create informative and actionable visualizations that facilitate end user self-service analytics.
• Incorporate data from multiple healthcare domains (encounters, conditions, orders, payments) to create outcomes research and analysis.
• Support stakeholders to deliver a consistent experience and predictable delivery.
• Automate solutions to scale for very large data sets and thousands of customers.
• Work with product management and analysts to address performance needs.
• Ensure that data privacy is maintained and all security requirements are addressed.
• Continually strive to improve functionality and look for optimizations.
• Highly driven and motivated to ensure customer success.

 

Qualifications:

• BS in Computer Science, Statistics, Informatics, Information Systems or another quantitative field (or equivalent experience)
• 5+ years of experience in data engineering roles
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity Oracle database
• Experience with data-oriented scripting languages: Python, R, Java, Scala, etc.
• Experience with data visualization software – OAC, Tableau, BO, PowerBI, Qlik, Looker, Crystal
• Comfortable working in an Agile SDLC environment
  • Source control & deployment systems, issue tracking, development KPIs
• Experience building and optimizing data architectures and data sets
• Experience with build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience supporting and working with cross-functional teams in a dynamic environment.

 

Helpful Skills

• Understanding of Healthcare data domains – Claims, EHR, PBM

Career Level - IC4

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immuniza