A healthcare technology firm is looking for a Senior Data Engineer/Architect to join their team in Jupiter, FL.

Compensation: $200-300k

Responsibilities:

• Build and maintain data pipelines based on functional and non-functional requirements
• Ensure that data pipelines incorporate best practices related to performance, scaling, extensibility, fault tolerance, instrumentation, and maintainability
• Produce and maintain design and operational documentation
• Analyze complex data problems and engineer elegant solutions
• Stay up to date on 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

Qualifications:
Required
Bachelor's degree in Computer Science, Information Systems, or related disciplines

• 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
• 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.)
• Experience creating and maintaining a wide variety of database objects including tables, views, functions, stored procedures, etc.
• Experience with data modeling indexes, temporal tables, CLR, etc.
• Understanding of the development of data pipelines using multiple external data sources and transport mechanisms
• 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

Preferred

• 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