Health Sr Data Engineer / Architect

At Voloridge Health our quantitative systems are deeply dependent on vast quantities of data. The Sr Data Engineer / Architect must understand the many different and evolving use cases for data at Voloridge and design systems that supply high-performance datasets for advanced analytics. In this role the Sr Data Engineer / Architect will provide mentorship and impart experience to the data engineering team.

Voloridge Health is an innovative data science-led company building a state-of-the-art health and wellness club designed to provide clients with comprehensive health and wellness services, integrating the in-person and digital application experience. Our offerings include cutting-edge health diagnostics and a mobile application that tracks client progress, supports goal setting, and monitors their journey toward better health led by health practitioners. To learn more, click the link here. 

Summary of Job Functions

• Collaborate effectively with Stakeholders, Project Managers, Software Engineers, Data Analysts, QA Analysts, DBAs, and Data Engineers
• Build and maintain data pipelines based on functional and non-functional requirements
• Proactively seek out information and overcome obstacles to deliver projects efficiently
• Ensure that data pipelines incorporate best practices related to performance, scaling, extensibility, fault tolerance, instrumentation, and maintainability
• Ensure that data pipelines are kept simple and not overly engineered
• Produce and maintain design and operational documentation
• Analyze complex data problems and engineer elegant solutions
• Stay abreast of emerging technologies and make relevant recommendations
• Upgrade existing data models and pipelines leveraging newer features and techniques
• Work in a Kanban environment
• Mentor less experienced data engineers
• Participate in engineering standards and best practices evolution
• Participate in an on-call rotation
• Lead investigations to troubleshoot pipeline issues

Minimum Requirements

10+ years with hands-on data engineering and deep knowledge of data architecture fundamentals including:

• Extensive experience building ETL/ELT pipelines from a variety of data sources
• Broad experience with database and associated technologies for moving and storage of data
• Experience evaluating and selecting tools and technologies based on fitness for purpose and stakeholder requirements
• Deep knowledge and experience with concepts such as performance tuning, execution plan analysis, and index optimization in at least one database technology (e.g., T-SQL, PL-SQL, NoSQL, etc.)
• Extensive experience creating and maintaining a wide variety of database objects including, tables, views, functions, stored procedures, etc.
• Comprehensive experience with data modeling indexes, temporal tables, CLR, etc.
• Deep understanding of the development of data pipelines using multiple external data sources and transport mechanisms
• Strong initiative, collaboration, accountability, impartiality, and communication
• Strong analytical skills, a real passion for working with data and strong interest in solving data problems
• Strong track record for judging core requirements and meeting deadlines
• Experience managing master data
• Experience writing C#, PowerShell, and Python
• Experience with Git source control
• Experience working in a Kanban SDLC and a strong understanding of traditional Kanban SDLC workflows
• Experience with deploying changes through segregated Development, QA, UAT and Production SDLC stages
• Experience owning mission-critical processes
• Bachelor’s degree in Computer Science, Information Systems, or related disciplines
• Ability to work onsite in our Jupiter, FL office

Preferred Skills and Previous Experience

• Python programming using libraries such as Pandas, Numpy, csv, Traceback, JSON, PyODBC, Math
• Experience with source code branching and pull requests / code reviews
• Experience with AWS
• Experience working with clinical and/or consumer healthcare data
• Experience with tools such as Red Gate, Grafana, OpsGenie and JAMS
• MS/PhD in Computer Science, Information Systems, or related disciplines

Compensation and Benefits

• Relocation assistance available for the right candidat