Pyramid Consulting, Inc

AI Data Engineer (AI‑enabled, Non‑Data‑Science Role)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Engineer with a 6+ month contract, paying $60-70/hr, and is remote. Key skills include Databricks, SAP, and AI-driven data engineering in medical device manufacturing. Experience with Claude LLM and regulatory compliance is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
April 23, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Classification #Time Series #SQL (Structured Query Language) #Spark (Apache Spark) #Predictive Modeling #Spark SQL #Data Extraction #Data Analysis #SAP #Data Engineering #Data Integrity #ML (Machine Learning) #Clustering #Consulting #Anomaly Detection #Data Pipeline #Azure #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Delta Lake #Compliance #Microsoft Azure #Data Science #Python #Databricks #Strategy #Datasets #Logging
Role description
Immediate need for a talented AI Data Engineer (AI‑enabled, Non‑Data‑Science Role). this is a 06+ Months contract opportunity with long-term potential and is located in U.S(Remote). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-09870 Pay Rate: $60- $70/hr. Employee benefits include, but are not limited to, health insurance (medical, dental, vision). Key Responsibilities: • Creating gold layers for data in Databricks environment • Building data foundation from scratch • Verifying data layer functionality • Conducting preliminary data analysis • Responsible to support the BDash AI-powered data analytics platform. This individual will contribute to advance data engineering pipelines, AI agent development, and cross-functional quality analytics across different areas of the business such as quality, product engineering, reliability, field service and business strategy. • Agentic AI for Manufacturing Intelligence • Deep expertise designing and deploying agentic AI systems using agentic frameworks and orchestrators to reason across manufacturing, quality, and post market data, execute multi step analysis, self correct, and drive decisions with limited human intervention. • Production LLM Expertise (Claude Based) • Production grade 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 • Strong expertise building AI driven data pipelines that 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 • Experience 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 • Solid foundation in predictive modeling, clustering, time series analysis, anomaly detection, and statistical methods applied to manufacturing processes, defects, equipment signals, and failure trends. • Manufacturing Data Platforms & Engineering • Advanced proficiency with Databricks, Spark, SQL, Delta Lake, and Python to ingest, structure, and analyze large scale manufacturing, quality, and post market data, supporting downstream analytics and AI systems. • Quality, CAPA & Root Cause Analytics • Demonstrated ability to correlate complaints, NCRs, CAPAs, and service data with upstream manufacturing signals using data driven root cause and investigation approaches. • Enterprise & Regulated Systems (SAP Centric) • Hands on experience integrating and analyzing data from SAP Tahiti, Salesforce, TrackWise, and QMS platforms while maintaining traceability, data integrity, and compliance in regulated environments. Key Requirements and Technology Experience: • Looking for Data engineer with AI blend, not data science focused • Medical device manufacturing experience • Data engineering with focus on building gold layers and foundational data work • Microsoft Azure and AI infrastructure experience • Claude LLM (Opus 4.6 onwards) • Databricks environment proficiency • Medallion architecture • SAP experience (critical due to client's implementation) • Understanding of regulatory compliance in medical device industry Our client is a leading Medical Device Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. By applying to our jobs, you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.