Data Engineer

Overview

Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.

Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.

Why should you be part of our success story? As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies—breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy.

In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are.

Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator’s top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Capterra, Apple and Google. Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives.

With our momentum—backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.

The Data Platform team at Deel is dedicated to building a secure, high-performance infrastructure that empowers our 100+ data professionals. In 2026, our core mission has expanded: we aren't just moving data; we are ensuring its integrity and security. As we scale, your primary focus will be architecting and implementing a robust, unified permission system across our modern data stack—ensuring the right people have the right access at the right time, while keeping Deel compliant with global standards.

• Design, build, and maintain efficient data pipelines (ETL processes) to integrate data from various source systems into the data warehouse.
• Architect Permissions-as-Code:
  Design and implement scalable Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) models within Snowflake and Looker.
• Unify the Stack:
  Create a seamless bridge between data warehouse roles and BI tool permissions, ensuring that security policies in Snowflake (like Row-Level Security) are accurately reflected in Looker.
• Audit & Comply:
  Support internal and external audits by building automated reporting on data access, usage, and compliance status (GDPR, SOC2, etc.).
• Develop and optimize data warehouse schemas and tables to support analytics and reporting needs.
• Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets.
• Implement data quality measures (such as validation checks and cleansing routines) to ensure data integrity and reliability.
• Collaborate with data analysts, data scientists, and other engineers to understand data requirements and deliver appropriate solutions.
• Document pipeline designs, data flows, and data definitions for transparency and future reference, adhering to team standards.
• Handle multiple tasks or projects simultaneously, prioritizing work and communicating progress to stakeholders to meet deadlines.

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Mathematics, Physics).
• At least 3 years of experience in a…