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

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 valued at $12 billion with $800 million in ARR, you'll work on enhancing data quality, optimizing pipeline performance, and building robust platform tools. The role involves working with a sophisticated data stack including Snowflake, Airflow, dbt, and Fivetran, supporting 30+ Analytics Engineers and 100+ data professionals.

The position requires strong expertise in Python and SQL, with experience in data warehousing, pipeline development, and data governance. You'll be responsible for designing and implementing scalable data solutions, collaborating with cross-functional teams, and ensuring data integrity and security. The role offers the opportunity to work with cutting-edge technologies and shape the future of global work.

Deel's platform combines HRIS, payroll, compliance, benefits, and performance management, serving businesses across 100+ countries. The company has a globally distributed team of 5,000 people speaking 74 languages, creating a dynamic and inclusive work environment. In 2024, Deel processed $11.2 billion in payments across nearly 100 currencies and provided benefits in 109 countries.

This is an excellent opportunity for a data professional looking to make a significant impact in a rapidly growing company that's transforming how global talent connects with world-class companies. The role offers competitive compensation, including stock grants, remote work flexibility, and additional benefits based on location and employment status.

Last updated a day 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 various 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 tools like 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 (optional)
  • Additional perks based on employment status and country

Interested in this job?

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