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Senior Data Engineer | Galaxy iTech | Sunnyvale, CA

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Tech Junction Ltd
Full Time, Part Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Cloud Computing, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

πŸ”Ž

Job Title:

Senior Data Engineer | Galaxy iTech | Sunnyvale, CA
🏒 Recruiting Company:
Galaxy iTech
🌍

Job Location:

Sunnyvale, California (Onsite 3 days/week)
πŸ’Ό Job Type: Full-Time
πŸ“§ Application Method:
Send your CV to  (mention Senior Data Engineer in the subject line)
πŸ“Œ Interview Requirement:
Must be willing to attend face-to-face interview in Cupertino, CA
πŸ“Œ Visa: H1B and USC candidates only

Position Summary

We are hiring a Senior Data Engineer with strong expertise in SQL, Python, and modern data platforms to design and optimize data pipelines for enterprise-scale applications. This role is ideal for professionals passionate about building robust, scalable data solutions and collaborating with cross-functional teams.

Detailed

Job Description

As a Senior Data Engineer, you will develop and maintain data pipelines, optimize database performance, and ensure data integrity across multiple systems. You will work with Snowflake and advanced SQL queries to support analytics and reporting needs. The role requires strong programming skills in Python and the ability to troubleshoot complex data workflows in a fast-paced environment.

Key Responsibilities
  • Design, build, and maintain scalable data pipelines for enterprise applications.
  • Write advanced SQL queries for data extraction, transformation, and analysis.
  • Develop Python scripts for automation and data processing tasks.
  • Optimize Snowflake database performance and manage data models.
  • Collaborate with data analysts and business teams to deliver reliable solutions.
Required Qualifications & Skills
  • Minimum 8 years of experience in data engineering.
  • Strong expertise in SQL and Python programming.
  • Hands-on experience with data pipeline creation and ETL processes.
  • Good understanding of Snowflake database architecture.
  • Excellent communication and problem-solving skills.
Nice-to-Have Skills
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Familiarity with big data tools (Spark, Hadoop).
  • Knowledge of CI/CD pipelines and Dev Ops practices.
  • Exposure to data governance and security best practices.
  • Certifications in Snowflake or cloud technologies.
Recruitment Pro Tip

Highlight your experience in building data pipelines and optimizing Snowflake environments. Including examples of complex SQL queries and Python automation projects will make your application stand out.

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Position Requirements
10+ Years work experience
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