JC Joshua & Company
Senior Data Engineer for Manufacturing AI Readiness Audits (Remote/Contract)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer specializing in Manufacturing AI Readiness Audits, offering a project-based contract of approximately 10-15 hours per audit. Key skills include Python, SQL, data profiling, and industrial data experience is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Datasets #ML (Machine Learning) #Pandas #Data Engineering #SAP #Clustering #SQL (Structured Query Language) #Visualization #Consulting #Data Profiling #Libraries #Strategy #AI (Artificial Intelligence) #Python
Role description
I am looking for a "Data Detective" to partner with on high-level industrial consulting engagements. We help manufacturing plants determine if they are ready for AI.
The Role: I handle the client strategy and delivery. You handle the "Data X-Ray." You will take raw exports (ERP dumps, SCADA logs, messy CSVs) and mathematically prove the quality gaps.
Responsibilities:
Ingest & Profile: Take raw datasets (Production logs, Maintenance records) and run profiling scripts (Pandas/YData) to identify nulls, duplicates, and format errors.
The "Linkage" Test: Verify if their "Part Numbers" and "Asset IDs" match across different systems (ERP vs. MES).
Visualization: Create simple "Data Health" visuals (PowerBI or Python libraries) that show the client exactly where their data is broken.
The Verdict: Provide a technical summary of "Remediation Steps" required before they can train an ML model.
The Stack:
Python (Pandas, YData Profiling, Sweetviz).
OpenRefine (for clustering analysis).
SQL.
Bonus: Experience with industrial data (PLCs, SAP, Maximo).
The Commitment:
Project-based (approx. 10-15 hours per audit).
Remote / Asynchronous.
Competitive Flat Fee per project.
To Apply: DM me with "DATA" and one example of a time you cleaned a messy dataset.
I am looking for a "Data Detective" to partner with on high-level industrial consulting engagements. We help manufacturing plants determine if they are ready for AI.
The Role: I handle the client strategy and delivery. You handle the "Data X-Ray." You will take raw exports (ERP dumps, SCADA logs, messy CSVs) and mathematically prove the quality gaps.
Responsibilities:
Ingest & Profile: Take raw datasets (Production logs, Maintenance records) and run profiling scripts (Pandas/YData) to identify nulls, duplicates, and format errors.
The "Linkage" Test: Verify if their "Part Numbers" and "Asset IDs" match across different systems (ERP vs. MES).
Visualization: Create simple "Data Health" visuals (PowerBI or Python libraries) that show the client exactly where their data is broken.
The Verdict: Provide a technical summary of "Remediation Steps" required before they can train an ML model.
The Stack:
Python (Pandas, YData Profiling, Sweetviz).
OpenRefine (for clustering analysis).
SQL.
Bonus: Experience with industrial data (PLCs, SAP, Maximo).
The Commitment:
Project-based (approx. 10-15 hours per audit).
Remote / Asynchronous.
Competitive Flat Fee per project.
To Apply: DM me with "DATA" and one example of a time you cleaned a messy dataset.
