Hybrid Cloud Data Developer Associate

IBM; Boston (MA); Hybrid; USD 66,000 - 93,000; Full time

Job summary

IBM Consulting is hiring a Data Services Developer Associate for Toronto or Calgary with intakes in May or September 2027. You will co-create data solutions with clients, build data models, pipelines, and automate processing using Python and SQL.

This hybrid role focuses on developing and delivering cloud-based data solutions within IBM’s global ecosystem, with mentoring and growth opportunities across engagements.

Qualifications

• Experience with cloud platforms (AWS/Azure/Google Cloud/IBM Cloud).
• Knowledge of AI/ML concepts in cloud or on-prem environments.
• Understanding of DevSecOps and Agile methods.
• Ability to communicate complex situations clearly.
• Initiative to actively seek new knowledge and expand skills.
• Proficient in Python for data processing or automation.
• Strong SQL skills for querying, transforming, and modeling data.
• Exposure to data pipelines, ETL/ELT workflows, and data modeling.
• Familiarity with API development, containers, and version control.
• Experience with Git and CI/CD tools such as Jenkins.

Responsibilities

• Collaborate with clients to translate requirements into designed solutions.
• Contribute to data models and data pipeline development.
• Write SQL queries and use Python to automate data processing tasks.
• Support data quality, reliability, and performance across data systems.
• Work with cloud data platforms and ETL/ELT workflows.
• Participate in development lifecycle: design, coding, testing, and deployment.
• Engage with mentorship and cross-functional teams to deliver impact.

Skills

Cloud platforms

Python

SQL

APIs

DevSecOps

Agile

Data processing

Education

Bachelor's Degree

Tools

Git

Jenkins

JIRA

Confluence

Job description

IBM Consulting is hiring a Data Services Developer Associate for Toronto or Calgary with intakes in May or September 2027. You will co-create data solutions with clients, build data models, pipelines, and automate processing using Python and SQL.

This hybrid role focuses on developing and delivering cloud-based data solutions within IBM’s global ecosystem, with mentoring and growth opportunities across engagements.