Cloud Data Engineer: Python, Databricks & AI Tools

Coforge; Phoenix (AZ); On-site; USD 90,000 - 150,000; Full time

Job summary

Coforge is hiring a Data Engineer in Phoenix, AZ. The ideal candidate will build scalable cloud-native data solutions using Python, Databricks, and IBM Cloud/IKS.

You will develop data pipelines, APIs, and automation scripts while deploying and managing services in a DevOps-driven environment. Responsibilities include designing data workflows, optimizing SQL queries, and supporting ML initiatives with TensorFlow.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• Hands-on Python development experience.
• Databricks and large-scale data processing experience.
• Knowledge of IBM Cloud services and Kubernetes-based deployments (IKS).
• Strong SQL and database concepts.
• Shell scripting and automation.
• Proficiency with GitHub workflows and CI/CD.
• Familiarity with TensorFlow and AI/ML concepts.

Responsibilities

• Develop, maintain, and optimize data pipelines using Python and Databricks.
• Design scalable cloud-native data solutions on IBM Cloud/IKS.
• Develop reusable APIs, automation scripts, and backend services.
• Write efficient SQL queries and optimize database performance.
• Implement CI/CD pipelines using GitHub Actions.
• Collaborate with cross-functional teams to deliver software solutions.
• Apply code reviews, testing, and documentation best practices.
• Support ML/AI initiatives using TensorFlow and related tools.

Skills

Python

IBM Cloud / IKS

Databricks

SQL

Shell scripting

AI-assisted Developer Tool

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

GitHub

GitHub Actions

TensorFlow

Job description

Coforge is hiring a Data Engineer in Phoenix, AZ. The ideal candidate will build scalable cloud-native data solutions using Python, Databricks, and IBM Cloud/IKS.

You will develop data pipelines, APIs, and automation scripts while deploying and managing services in a DevOps-driven environment. Responsibilities include designing data workflows, optimizing SQL queries, and supporting ML initiatives with TensorFlow.