Health Senior Data Engineer/Architect

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Job description

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

(phone number removed)

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