Job Description

This is a Full Time Sr. Data Engineer/ Architect position. Open to relocation. Potential hybrid situation.

Job Description:

1. Collaborate effectively 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. Proactively seek out information and overcome obstacles to deliver projects efficiently
4. Ensure that data pipelines incorporate best practices related to performance, scaling, extensibility, fault tolerance, instrumentation, and maintainability
5. Ensure that data pipelines are kept simple and not overly engineered
6. Produce and maintain design and operational documentation
7. Analyze complex data problems and engineer elegant solutions
8. Stay abreast of emerging technologies and make relevant recommendations
9. Upgrade existing data models and pipelines leveraging newer features and techniques
10. Work in a Kanban environment
11. Mentor less experienced data engineers
12. Participate in engineering standards and best practices evolution
13. Participate in an on-call rotation
14. Lead investigations to troubleshoot pipeline issues

Minimum Requirements

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. Broad 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. 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.)
5. Extensive experience creating and maintaining a wide variety of database objects including, tables, views, functions, stored procedures, etc.
6. Comprehensive 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. Bachelor’s degree in Computer Science, Information Systems, or related disciplines
18. Ability to work onsite in our Jupiter, FL office

Preferred Skills and Previous Experience

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

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