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Data Engineer (SW)

ICONMA, LLC

Cupertino, CA

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JOB DETAILS
SALARY
$62–$67 Per Hour
SKILLS
Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Automation, Bash Scripting, Big Data, Bridge Building, Civil Engineering, Consumer Software, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Data Analysis, Data Modeling, Data Warehousing, DevOps, Docker, Ecosystems, Health Plan, High Tech Industry, Identify Issues, Performance Management, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Software Engineering, Systems Reliability, Unix Shell Programming
LOCATION
Cupertino, CA
POSTED
30+ days ago
Our client, is a Consumer Products And Software Services company, is looking for a Data Engineer (SW) for their Cupertino, CA/Hybrid location.
 
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
 
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
  • MS or equivalent experience preferred
 
Why Should You Apply?

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ICONMA, LLC

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