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Latest Data Engineering jobs at Square

5 jobs

Job results

Square

Square

United States

Senior Software Engineer, Data Platform
$185k+/yrRemote5+ YOEData Engineering

Build and operate trusted, scalable data-platform capabilities spanning warehousing, orchestration, governance, BI, and developer tooling. The role requires senior software engineering experience, strong Python skills, modern data-platform expertise, and Terraform proficiency.

Square

Square

California

People Intelligence Architect
$143k+/yrOn-site8+ YOEData Engineering

Senior individual contributor who architects and builds end-to-end people data systems, predictive models, and AI-agent workflows. Requires 8+ years of experience across data engineering and data science, with expertise in Python, SQL, machine learning, sensitive HR data, and agentic AI.

Square

Square

Toronto, Canada

Oracle Fusion Techno-Functional Developer
CA$104k+/yrRemoteData Engineering

Build and scale Oracle Fusion financial systems across accounting, tax, treasury, procurement, and FP&A. The role combines financial data architecture, SQL/PL/SQL integrations, workflow automation, and AI-assisted development in partnership with business and engineering teams.

Square

Square

California

Software Engineer, Reconciliation & Reporting
$121k+/yrOn-site3+ YOEData Engineering

Build and maintain data pipelines for reconciling card-network settlements against internal transaction data to power accurate financial, tax, and regulatory reporting at scale for a global payments platform. Requires 3+ years experience with batch/event-driven pipelines, orchestration tools, and strong SQL/programming skills in a high-stakes financial environment.

Square

Square

California

Senior Data Engineer, Risk
$168k+/yrHybrid8+ YOEData Engineering

Senior Data Engineer on the Risk or Compliance team building data models, pipelines, monitoring, and AI agents to support financial crimes detection, risk decisions, and ML datasets across Cash App, Square, and Afterpay. Requires 8+ years experience, strong SQL/Python/DBT skills, and full lifecycle data engineering expertise.