Data Engineer

Hybrid in Fremont, CA, US • Posted 3 hours ago • Updated 3 hours ago
Contract W2
Contract Corp To Corp
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ELT
  • Computer Science
  • Data Engineering
  • Data Quality
  • Enterprise Integration
  • Customer Relationship Management (CRM)
  • Data Cleansing
  • Manufacturing
  • Bill Of Materials
  • Enterprise Resource Planning
  • Extract, Transform, Load
  • SAP
  • SQL
  • Product Lifecycle Management
  • Reconciliation
  • Graph Database
  • Python
  • Sales
  • Product Costing

Summary

🚀 We’re Hiring: Data Engineer – Bay Area, CA

We’re looking for a strong Data Engineer with hands-on experience building production-grade data pipelines and integrating complex enterprise systems.
Location: Bay Area, CA🏠 Candidates must be local to the Bay Area

What you’ll work on:
• Build data ingestion pipelines connecting multiple enterprise source systems including SAP, Teamcenter/PLM, Quality systems, CRM/Sales Forecasting, supplier data, and long-term forecasting platforms
• Ingest and transform BOM, product cost, supplier, and vendor master data
• Develop reliable batch and streaming ETL/data pipelines
• Handle data cleansing, reconciliation, entity resolution, and data quality across heterogeneous systems
• Work with large-scale industrial/manufacturing datasets
• Support data ingestion into modern platforms and potentially graph/knowledge-graph environments

What we’re looking for:
 4+ years of Data Engineering experience
 Strong Python amp; SQL
 Production ETL/ELT and data pipeline experience
 Enterprise integration experience across ERP, PLM, CRM, and supplier systems
 Experience with BOMs, cost data, vendor/supplier masters, manufacturing or industrial data preferred
 Entity resolution, cleansing, reconciliation, and data quality experience
 Graph database / Knowledge Graph experience is a plus
 Bachelor’s degree in Computer Science, Data Engineering, or related field

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: dynpro
  • Position Id: 9104942
  • Posted 3 hours ago
Contact the job poster
RK

Ramanpreet Kaur

Recruiter @ DynPro Inc.
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