Health Senior Data Engineer/Architect

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

Compensation: $200-250k

Responsibilities:

• Collaborate 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


• 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


• 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:

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


• 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.)


• Extensive 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.


• 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


• A Bachelor's degree in Computer Science, Information Systems, or related disciplines

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

24-03090

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