Senior Data Engineer

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting 15,000 healthcare professionals and team members at more than 1,000 health and wellness offices across 46 states in four distinct categories: Dental Care, Urgent Care, Pet Care, and Medical Aesthetics. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of four consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Lovet Veterinary Clinics and Chapter Aesthetic Studio. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. We are seeking a Senior Data Engineer who will partner with business, analytics, and engineering teams to design and build data structures to facilitate reporting, models, and monitor key performance metrics. Collaborating across disciplines, you will identify internal/external data sources to design data assets, define a data pipeline strategy & automated testing and implement scalable data solutions. This person will work with our emerging brands that have a very nascent existing data infrastructure. This person will have the opportunity to bring TAG and industry best practices to a new business and be responsible for creating a new base infrastructure that will allow management to effectively operate the business. Additional Background Across TAG, there are several digital transformations in flight. This includes a platform modernization program with a cloud-native migration that will empower an exciting digitalization of the dental industry with advances in 3D printing, scanning, AI, and much more. Now is a great time to join us to design and build the future of the TAG Data Platform. Be a part of a new team building cloud-native solutions with open-source tools and technologies. You will partner with the business to build self-service data assets and modern data science/ analytics solutions. Responsibilities Partner cross-functionally to understand data, reporting, and data asset requirements Work with engineering teams to collect required data from internal and external systems Design ELT and ETL strategy to build performant data solutions that are reliable and scalable in a fast-growing cloud-native data ecosystem using tools such as dbt Rebuilding and automating legacy reporting pipelines to a new platform Contribute toward evolving companys analytical self-service/ ad hoc reporting/Data Analytics/Analytical Modeling/Data Visualization process and/or product Contribute to evolving Data platform engineering process utilizing open-source technologies like Apache Spark, Kafka Develop and conduct automated testing Develop and maintain routines using orchestration tools such as Airflow, Prefect, Kubeflow Document and publish Metadata and table designs to facilitate data adoption. Perform pipeline tuning as necessary Qualifications/Requirements Bachelor's Degree or equivalent combination of education, training, and experience; Masters Degree preferred 5+ years of IT/ Analytics/ Data Science experience Experience with SQL Hands-on experience with Python and/or other programming languages Experience with best practices in automated testing for automated pipelines Experience with building out and maintaining metrics, alarms, and monitoring of services Desired Characteristics Strong background in Health Care Data and related engineering experiences Strong desire to work with analytics data and partners Experience in MS SQL, SQL Server Integration Services (SSIS), and SQL Server Reporting Services (SSRS) would be a plus Experience in GCP, AWS, Azure would be a plus AWS, GCP certifications (Solution Architect, Engineering, Big Data Specialty, etc.) would be a plus Experience/Exposure in Data Science and/or Analytics in cloud would be a plus Experience in Machine Learning/Deep Learning use cases and development would be a plus Experience in Data Cleansing/Transformation would be a plus Experience in Container, Kubernetes, and related technology ecosystems would be a plus Experience in Data Modeling would be a plus Experience in Event-Driven Architecture, Streaming processing would be plus Experience in sourcing and processing structured, semi-structured, and unstructured data would be a plus Outstanding written and verbal communication skills *This role is onsite 4 days/week in our Chicago office (Fulton Market District) A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match