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Lead Data Engineer (Databricks – Manufacturing/MES) Architect

VTekisConsultingLLP

San Jose, CA, United States Remote contract

Posted: March 6, 2026

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Quick Summary

This project involves designing and implementing data engineering solutions for large-scale manufacturing and MES systems. The ideal candidate should have a strong background in data engineering and experience with cloud-based data platforms. The role requires a hands-on approach to analyze and optimize data pipelines for real-time processing.

Job Description

VTekis Consulting LLC provides complete solutions for Staff Agumentation, Recruitment Process Outsourcing, Contract Hiring, Direct Hire and Outsourced Solutions. Our goal is to deliver quality professional services to our clients not just to find someone to do a job, we match the right professional for your staffing needs and earning confidence through the proper assignment of people. This alignment of people and companies allows us to create opportunity. Most importantly, We don’t consider the process complete until we find the perfect fit.

 

Required Skills & Experience:

Strong hands-on expertise in Azure Databricks (Delta Lake, PySpark, Spark architecture)

Proven experience in Manufacturing domain, especially working with MES systems and production data

Experience building real-time or near-real-time data pipelines

Strong SQL and data modeling skills

Experience with cloud platforms (Azure preferred)

Ability to function as both technical architect and hands-on developer

Excellent communication skills and ability to work in PST time zone

Preferred:

Experience with IoT data ingestion and streaming technologies

Exposure to data warehousing and BI integration

Experience leading small data engineering team

Key Responsibilities:

Design, build, and optimize scalable data pipelines using Azure Databricks (PySpark, Spark SQL, Delta Lake)

Integrate and process MES data, shop-floor data, IoT/sensor data, and ERP systems

Architect modern data solutions supporting manufacturing analytics and operational reporting

Lead data engineering best practices including performance tuning, optimization, and governance

Work closely with manufacturing stakeholders to translate MES data requirements into scalable data models

Ensure high data quality, reliability, and production-grade deployments.

Regards,

Mohammed ilyas,

PH - 229-264-4024 or text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com

All your information will be kept confidential according to EEO guidelines.

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