What are the responsibilities and job description for the Senior Data Engineer position at Team TAG Services, LLC?
The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. 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 five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and AZPetVet. 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 would 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.
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 company’s 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; Master’s 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 Fulton Market office
- A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match
- $129,000-160,000/year
Salary : $129,000 - $160,000
