at WPS Health Solutions in Marion, Illinois, United States
Job Description
Description
Senior Cloud Data Engineer
U.S. citizenship is required for this position due to Department of Defense restrictions.
Who We Are
is a leading not-for-profit health insurer in Wisconsin. Our services offer health insurance plans for individuals, families, seniors, and group plans for small to large businesses. We process claims and provide customer service support for beneficiaries of the Medicare program and manage benefits for millions of active-duty and retired military personnel across the U.S. and abroad. In 2021, WPS Health Solutions celebrated of making health insurance easier for those we serve. Proud to be military and veteran ready.
Our Culture
WPS' Performance-Based Culture is where the great work and innovations of our people are seen, fueled, and rewarded. We accomplish this by creating an inclusive, empowering employee experience, focusing on People, Work, and Conditions. This results in people bringing their authentic selves to work every day in an organization that successfully adapts to business changes and new opportunities. We are guided by our Purpose: Together, making health care easier for the people we serve.
In 2021, 2022 and 2023 WPS Health Solutions was recognized for several awards including:
Role Snapshot
Our Senior Data Engineer will build the next generation of data pipelines and data platforms in the Azure Cloud for WPS Health solutions across the enterprise. This critical position will develop a new platform based on a Data Lakehouse architecture to fundamentally transform the way WPS uses data. Will work with clients and partners to determine data needs and ensures solutions are highly usable, scalable, maintainable, and cost-effective while conforming to industry best practices.
In this role you will:
Provide consultation regarding data platform terminology, concepts, and practices.
Provide on-going support for consistent, accurate, and complete data requirements, models, and definitions.
How do I know this opportunity is right for me? If you:
Can define, develop, and implement data pipelines from internal and external data sources using Continuous Integration / Continuous Development (CI/CD) best practices.
Have previously deployed production quality code to the cloud in a cost-effective, reliable, and efficient manner.
Can engineer solutions using SQL and Python (or Scala) for data processing (in this role Python preferred).
Are interested in designing data platform solutions for a greenfield, company-wide initiative in the Azure Cloud - .
Are a self-starter who can work in ambiguous situations, rapidly learn, and adapt.
Possess excellent skillsets in general data engineering and management, client interaction, and design usability.
Have experience in Agile project methodologies.
Like working on a fun, enthusiastic, high functioning, technologically savvy and hard-working team.
Approach challenges head on with creativity, determination, and passion that ignites other to do so as well.
Can partner with other organizational entities, (e.g., Finance, Actuarial, Enterprise Architecture, Data Warehouse) to determine most effective data models for analytical reports.
Have experience using the Medallion Architecture to model, organize, and aggregate data in Databricks.
What will I gain from this role?
Experience developing new data platforms in the Azure Cloud to fundamentally transform the way the company uses data.
The ability to evaluate new industry data engineering technologies and practices.
Cross functional skills and responsibilities to guide, mentor, and foster new and innovative data platforms throughout the organization.
Contribute to data platform engineering design decisions that impact solution usability, performance, scalability, and maintainability.
Experience working in an environment that serves our Nation's military, veterans, Guard and Reserves and Medicare beneficiaries.
Working in a continuous performance feedback environment.
Minimum Qualifications
U.S. Citizenship is required for this position due to Department of Defense restrictions.
Bachelor's Degree in related field or equivalent post high school and/or related work experience.
2 or more years of related technical work experience.
Preferred Qualifications
5 or more years of exp working on cloud data solutions in a large enterprise environment.
Experience building data ingestion, processing, and analytical pipelines in the Azure Cloud, preferably using Python and Azure Databricks. Experience with a Data Lakehouse architecture is strongly preferred. This includes ELT principles and patterns as well as in-depth and professional production experience with:
Azure Data Factory
Databricks
Python
Spark SQL
Apache Parquet
Delta Lake
Working with agile... For full info follow application link.
Wisconsin Physicians Service Insurance Corporation is an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities employer.
