Senior Data Developer: AI, Pipelines & SaaS Forecasting

Remote

San Francisco (CA)

Remote

USD 140,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Maternity and Parental leaves
Mobile services subsidy
Sick pay-Life insurance
CI&T University
Colombian Holidays
Paid Vacations

Job summary

CI&T is expanding its Digital Supply Chain Analytics team in the San Francisco area. We seek a Senior Data Developer who will contribute to existing codebases, build data pipelines, and support AI-driven forecasting and inventory management projects.

You will work across database and UI development, ETL/ELT processes, and ML workflows within a collaborative, distributed team. Strong Git practices and cross-functional communication are essential.

Qualifications

  • Contributed to and extended code repositories in a team setting.
  • Experience with Git, code reviews, and collaboration workflows.
  • Experience with data pipelines and data integration across systems.

Responsibilities

  • Contribute to existing codebases by extending and maintaining components.
  • Follow Git best practices including branching, commits, reviews, and merges.
  • Build data pipelines feeding downstream apps including AI agents.
  • Design and maintain database structures supporting workloads.
  • Develop frontend features and backend admin functionality for internal apps.
  • Create and manage scheduled jobs to automate data processes.

Skills

Git
Data pipelines
ETL/ELT
ML (machine learning)
Front-end/back-end development
Communication

Education

Bachelor's degree in Computer Science or related

Tools

Google BigQuery
SAP

Job description

CI&T is expanding its Digital Supply Chain Analytics team in the San Francisco area. We seek a Senior Data Developer who will contribute to existing codebases, build data pipelines, and support AI-driven forecasting and inventory management projects.

You will work across database and UI development, ETL/ELT processes, and ML workflows within a collaborative, distributed team. Strong Git practices and cross-functional communication are essential.

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