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:

1. Collaborate with Stakeholders, Project Managers, Software Engineers, Data Analysts, QA Analysts, DBAs, and Data Engineers
2. Build and maintain data pipelines based on functional and non-functional requirements
3. Ensure that data pipelines incorporate best practices related to performance, scaling, extensibility, fault tolerance, instrumentation, and maintainability
4. Ensure that data pipelines are kept simple and not overly engineered
5. Produce and maintain design and operational documentation
6. Analyze complex data problems and engineer elegant solutions
7. Upgrade existing data models and pipelines leveraging newer features and techniques
8. Work in a Kanban environment
9. Mentor less experienced data engineers
10. Participate in engineering standards and best practices evolution
11. Participate in an on-call rotation
12. Lead investigations to troubleshoot pipeline issues

Qualifications:
Required:

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

1. Extensive experience building ETL/ELT pipelines from a variety of data sources
2. Experience with database and associated technologies for moving and storage of data
3. Experience evaluating and selecting tools and technologies based on fitness for purpose and stakeholder requirements
4. 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.)
5. Extensive experience creating and maintaining a wide variety of database objects including, tables, views, functions, stored procedures, etc.
6. Experience with data modeling indexes, temporal tables, CLR, etc.
7. Deep understanding of the development of data pipelines using multiple external data sources and transport mechanisms
8. Strong initiative, collaboration, accountability, impartiality, and communication
9. Strong analytical skills, a real passion for working with data and strong interest in solving data problems
10. Strong track record for judging core requirements and meeting deadlines
11. Experience managing master data
12. Experience writing C#, PowerShell, and Python
13. Experience with Git source control
14. Experience working in a Kanban SDLC and a strong understanding of traditional Kanban SDLC workflows
15. Experience with deploying changes through segregated Development, QA, UAT and Production SDLC stages
16. Experience owning mission-critical processes
17. A Bachelor's degree in Computer Science, Information Systems, or related disciplines

Preferred:

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