AI Data Engineer (AI‑enabled, Non‑Data‑Science Role) - Medical Device

Job ID: 26-09870

Contract Opportunity

• Duration: 06+ Months (long-term potential)
• Location: U.S. (Remote)
• Pay Rate: $70 - $80/hr.
• Benefits: Health insurance (medical, dental, vision)

Key Responsibilities:

• Creating gold layers for data in a Databricks environment.
• Building data foundations from scratch.
• Verifying data layer functionality.
• Conducting preliminary data analysis.
• Supporting the BDash AI-powered data analytics platform, contributing to data engineering pipelines, AI agent development, and cross-functional quality analytics.

Agentic AI for Manufacturing Intelligence

• Designing and deploying agentic AI systems using agentic frameworks and orchestrators to reason across manufacturing, quality, and post-market data, execute multi-step analyses, self-correct, and drive decisions with limited human intervention.

Production LLM Expertise (Claude Based)

• Experience using Claude LLMs within orchestrated agent workflows, including prompt management, tool calling, structured outputs, guardrails, and audit-ready logging.

Unstructured → Structured Manufacturing Data Transformation

• Building AI-driven data pipelines to transform unstructured medical device data (complaints, CAPAs, investigations, service notes, SOPs, PDFs, emails) into structured, analytics, and review-ready datasets.

AI Driven Quality & Failure Data Extraction

• Developing orchestrated AI pipelines for entity extraction, event classification, failure mode standardization, trend tagging, risk categorization, and summarization aligned to quality and manufacturing taxonomies.

Core ML & Statistical Analysis for Manufacturing

• Applying predictive modeling, clustering, time series analysis, anomaly detection, and statistical methods to manufacturing processes, defects, equipment signals, and failure trends.

Manufacturing Data Platforms & Engineering

• Utilizing Databricks, Spark, SQL, Delta Lake, and Python to ingest, structure, and analyze large-scale manufacturing, quality, and post-market data.

Quality, CAPA & Root Cause Analytics

• Correlating complaints, NCRs, CAPAs, and service data with upstream manufacturing signals using data-driven root cause and investigation approaches.

Enterprise & Regulated Systems (SAP Centric)

• Integrating and analyzing data from SAP Tahiti, Salesforce, TrackWise, and QMS platforms while maintaining traceability, data integrity, and compliance.

Key Requirements and Technology Experience:

• Data engineering background with AI blend (non-data science focus).
• Medical device manufacturing experience.
• Experience building gold layers and foundational data work.
• Microsoft Azure and AI infrastructure experience.
• Proficiency with Claude LLM (Opus 4.6 onwards).
• Databricks environment proficiency.
• Medallion architecture knowledge.
• SAP experience (critical).
• Understanding of regulatory compliance in the medical device industry.

Our client is a leading Medical Device Industry company. We are currently interviewing for this and similar contract positions. Apply online for immediate consideration.

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