Data Engineer/Scientist QMS Prototype Development Role

Position Title: Data Engineer/Scientist QMS Prototype Development

Location: Fully Remote (U.S. candidates can be located anywhere in the States)

Duration: 12 months (potential for extension depending on project success and funding)

Interview Process:

• At least 2 rounds, possibly 3
• Round 1 & 2: Technical interviews via Teams or Zoom with different stakeholders
• Round 3 (if needed): Final discussion/fit interview
• Background check required

Start Date: ASAP (flexible can start anytime)

Scope (What's driving the need/urgency):

One of their product line has fragmented data spread across multiple systems. The team needs to build a centralized Quality Management System (QMS) to consolidate and manage this data effectively.
A prototype has already been developed and received funding approval. The goal of this role is to expand on the prototype, demonstrate potential ROI, and enhance QMS functionality. This project serves as a proof of concept to validate the long-term vision and justify continued investment.

Duties / Responsibilities:

• Design, build, and enhance a Quality Management System to centralize fragmented data from multiple sources
• Develop robust data processing, statistical, and reliability models
• Create visual dashboards and analytics in Power BI (end visualization layer)
• Work extensively within Databricks to process and manage data
• Collaborate with cross-functional teams to test, refine, and scale the prototype
• Perform advanced data analysis, generate insights, and support decision-making
• Architect and optimize data pipelines and storage solutions as needed
• Support ongoing enhancement of system functionality and performance

Necessary Skills:

• SQL (preferred) or Python (expert level) 10+ years of hands-on experience
• Databricks 5+ years of experience; familiarity with Databricks custom language/environment
• Strong statistical background capable of data analysis, data processing, and building reliability/heat map models
• Experience with data engineering and analytics, focusing on processing and visualization rather than AI/ML-heavy modeling
• Proven experience developing systems or platforms from the ground up (not just configuring off-the-shelf solutions)
• Power BI dashboard development experience
• Bachelor s degree required (advanced degree a plus)