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Data Engineer

NMK Global Inc.Santa Clara, CA🇺🇸United StatesPosted 27 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Santa Clara, CA, United States
Posted
Yesterday
SQLAWSDatabricksPythonRedshift

Job Description

NMK Global Inc. is a global IT Services & Solutions company specializing in IT Staffing, Technology Consulting, Workforce Solutions, and Application Development Services. We help organizations build high-performing technology teams by connecting them with exceptional talent across a wide range of industries. Our expertise, industry knowledge, and consultative approach enable clients to achieve successful business outcomes while helping professionals advance their careers. 

Job Title: Data Engineer
Location: Santa Clara, CA – 100% Onsite, 5 Days/Week

Job Description:

Required Skills:

  • Strong SQL – Window Functions, CTEs, Complex Joins, Aggregations, Query Optimization
  • Strong Python / data-intensive software development
  • Data modeling, analytics datasets, data products, or application data layers
  • Production data pipelines, data platforms, or analytics systems
  • Data quality, validation, lineage, table grain, and metric definitions
  • Ability to identify technically valid but semantically incorrect data
  • Strong cross-functional collaboration with engineering, product/UI, domain experts, and data teams
  • Interest/experience in AI/ML and data-driven analytics
  • Bachelor's/Master's in CS, Computer Engineering, Electrical Engineering, or equivalent
  • 8+ years of relevant experience

Preferred Skills:

  • Semiconductor, manufacturing, yield, test, quality, reliability, or hardware engineering data
  • AWS S3, Athena, Glue, Redshift, EMR, Spark
  • Databricks, Delta Lake, Data Lake/Lakehouse
  • LLMs, RAG, AI-based data exploration, NL-to-SQL
  • Feature engineering, anomaly detection, predictive analytics, recommendation systems
  • Engineering analytics platforms and internal data products

 

NMK Global Inc. is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and consider all qualified applicants without regard to age, race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law. 

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