Data Engineer

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

Skills: Python, IBM Cloud / IKS, Databricks, SQL, Shell scripting, AI-assisted Developer Tool.

Experience: 5+ years

Location: Phoenix, AZ

We at Coforge are hiring a Data Engineer with the following skillset:

Key Responsibilities:

• We are seeking a highly skilled Data Engineer with strong expertise in Python, IBM Cloud/IKS, Databricks, and AI-assisted development tools. The ideal candidate will have experience building scalable cloud-native applications, developing data-driven solutions, and leveraging modern DevOps and machine learning technologies to drive innovation.
• Design, develop, and maintain scalable applications using Python.
• Build and optimize data pipelines and analytics solutions using Databricks.
• Deploy and manage cloud-native applications on IBM Cloud and IKS.
• Develop reusable APIs, automation scripts, and backend services.
• Write efficient SQL queries and optimize database performance.
• Utilize AI-assisted development tools to improve coding productivity and software quality.
• Implement CI/CD pipelines using GitHub Actions.
• Collaborate with cross-functional teams to deliver high-quality software solutions.
• Apply software engineering best practices, including code reviews, testing, and documentation.
• Support machine learning and AI initiatives using TensorFlow and related technologies.

Required Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Strong hands-on experience with Python development.
• Experience working with Databricks and large-scale data processing frameworks.
• Knowledge of IBM Cloud services and Kubernetes-based deployments (IKS).
• Strong understanding of SQL and database concepts.
• Experience with Shell scripting and automation.
• Proficiency in GitHub, Git workflows, and CI/CD implementation.
• Familiarity with TensorFlow and AI/ML development concepts.
• Excellent problem-solving, communication, and collaboration skills.
• Primary Skills: Python, IBM Cloud / IKS, Databricks.
• Secondary Skills: SQL, Shell scripting, AI-assisted Developer Tool.
• Other Technologies: GitHub, GitHub Actions, TensorFlow.