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Data Engineer

Spectraforce Technologies Inc

Role: Data Engineer

Location: Cupertino, CA (Hybrid)

Duration: 12 months

Role Overview

We are seeking a Data Engineer with strong data pipeline development skills and hands-on experience managing containerized workflows in Kubernetes and Docker. This role combines traditional data engineering responsibilities with infrastructure-focused work to support deployment, monitoring, and automation of data services.

Key Skills:

  • SQL, Python, Bash/Shell scripting
  • Spark, Airflow
  • Snowflake, DBT
  • AWS S3, Kubernetes
  • GitHub, Docker
  • DevOps, CI/CD


Key Requirements:
  • 2-5 years of experience in Data Engineering, Software Engineering, or Analytics
  • Strong SQL and Python skills with comfort working in Bash/Shell
  • Hands-on experience with Spark, Airflow, Snowflake, DBT, and AWS S3
  • Strong Kubernetes and Docker experience, including deploying, managing, and troubleshooting workflows
  • Familiarity with DevOps practices including CI/CD, monitoring, and automation (AWS preferred)
  • Ability to bridge both data engineering and infrastructure responsibilities
  • Solid understanding of data modeling, warehousing, and big data ecosystems


Responsibilities
  • Build and maintain scalable ELT pipelines using SQL and Python
  • Deploy, manage, and monitor containerized data workflows in Kubernetes and Docker
  • Collaborate cross-functionally to deliver reliable and well-documented data solutions
  • Implement automation and monitoring to improve system performance and reliability
  • Support urgent reporting requests and ad-hoc data analysis needs


Education:
  • MS or equivalent experience preferred
Vacancy posted 23 hours ago
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