Data Engineer

All-in-one payroll and HR platform for global teams, combining HRIS, payroll, compliance, benefits, performance, and equipment management.
Data
Mid-Level Software Engineer
Remote
5,000+ Employees
3+ years of experience
Enterprise SaaS · Finance

Description For Data Engineer

Deel, the fastest-growing SaaS company in history, is seeking a Data Engineer to join their Data Platform team. As part of a company that processed $11.2B in payments across 100+ countries in 2024, you'll work on enhancing data quality, optimizing pipeline performance, and building robust platform tools. The role involves collaborating with 30+ Analytics Engineers and 100+ data professionals to shape Deel's data infrastructure future.

The position offers a unique opportunity to work at the forefront of global work revolution, tackling complex challenges that impact millions of people's working lives. Deel, valued at $12 billion with $800 million in ARR, provides an environment where you'll drive meaningful impact while building expertise in global work transformation.

You'll be responsible for designing and implementing scalable data pipelines using modern tools like Snowflake, Airflow, and dbt. The role requires strong technical skills in Python and SQL, experience with data warehousing, and expertise in data modeling. You'll work on everything from data ingestion to outbound integrations, ensuring data quality and security while collaborating with cross-functional teams.

The ideal candidate brings 3+ years of data engineering experience, strong technical capabilities, and excellent problem-solving skills. You'll join a globally distributed team of 5,000 spanning 100+ countries, contributing to a dynamic culture that drives continuous learning and innovation. Benefits include stock grants, remote work flexibility, and various perks based on location and employment status.

Last updated 15 hours ago

Responsibilities For Data Engineer

  • Design, implement, and manage scalable data pipelines using Snowflake, Airflow, dbt, and Fivetran
  • Collaborate with cross-functional teams to understand data requirements
  • Implement and enforce data governance policies
  • Develop and maintain ELT processes
  • Optimize SQL queries for data analysis and reporting
  • Partner with data analysts, scientists, and stakeholders
  • Diagnose and resolve data-related issues
  • Build cutting-edge development environment and CI/CD system
  • Ingest data from external systems via APIs
  • Stay informed on industry trends and emerging technologies

Requirements For Data Engineer

Python
Kubernetes
  • Minimum 3 years as a Data Engineer or similar role
  • Strong proficiency in Python and SQL
  • Experience with cloud-based data warehouses
  • Proficiency in designing efficient database schemas
  • Familiarity with Apache Airflow
  • Experience with data streaming and Change Data Capture (CDC)
  • Proficiency in Terraform and GitHub Actions
  • Experience in setting up PII anonymization and RBAC
  • Strong ability to work with cross-functional teams
  • Excellent analytical skills with attention to detail

Benefits For Data Engineer

Equity
  • Stock grant opportunities
  • Remote work flexibility
  • WeWork access
  • Additional perks based on employment status and country

Interested in this job?

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