Jobs · Information Technology · New York

Data Engineer

Growx · New York, United States · 1 mo ago
On-siteInformation TechnologyFull-time

Program Overview

Growx Tech IT LLC offers a comprehensive Data Engineering Career Transformation Program designed for international students in the USA on F1‑OPT, STEM OPT, or CPT status. The program bridges the gap between graduation and a tech career by providing practical training, cloud infrastructure exposure, and documentation support to help maintain legal immigration status and secure high‑demand roles.

Key Highlights

  • Stop the OPT Clock: Immediate enrollment to help you maintain your legal immigration status.
  • Technical Training: Hands‑on experience with SQL, Python/PySpark, Snowflake, AWS/Azure Cloud Platforms, Docker, Kubernetes, and CI/CD pipelines.
  • Real‑world Projects: Build end‑to‑end data pipelines (ETL/ELT), cloud infrastructure automation, and data warehousing solutions for enterprise scenarios.
  • Placement Assistance: Dedicated support for Cloud/Data Engineer resume marketing, LinkedIn optimization, and technical architecture interview preparation.
  • Expert Mentorship: Guidance from experienced Cloud Architects and Lead Data Engineers active in the US corporate sector.

Requirements

  • Must be on OPT, STEM OPT, or CPT status.
  • Background in Computer Science, Information Technology, Data Engineering, STEM, or related quantitative disciplines.
  • Basic understanding of SQL, Linux basics, and scripting.
  • Strong interest in cloud and data architecture.
  • Strong technical troubleshooting and communication skills for US corporate environments.

Benefits

  • Guaranteed project allotment to satisfy OPT/CPT requirement guidelines.
  • Direct mentorship on production data architecture and cloud automation tools.
  • Mock technical interviews, system design walkthroughs, and resumes tailored for Cloud & Data roles.
  • Flexible schedule.
  • Paid time off.
  • Referral program.

Skills

  • Cloud architecture
  • Data engineering
  • DevOps
  • SQL
  • Python/PySpark
  • Snowflake
  • AWS/Azure
  • Docker
  • Kubernetes
  • CI/CD pipelines

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