Data Engineer

Global platform enabling businesses to hire anyone, anywhere, providing tools for hiring, onboarding, managing, and paying global teams.
Data
Mid-Level Software Engineer
Remote
1,000 - 5,000 Employees
3+ years of experience
Enterprise SaaS · Finance

Description For Data Engineer

Deel is revolutionizing global hiring as a market-leading platform valued at $12B, enabling businesses to hire talent worldwide without borders. As a Data Engineer on the Data Platform team, you'll be crucial in shaping Deel's data infrastructure, supporting 30+ Analytics Engineers and 100+ data professionals. The role involves designing and implementing scalable data pipelines, collaborating with cross-functional teams, and ensuring robust data governance. You'll work with modern tools like Snowflake, Airflow, and dbt, while maintaining high standards for data quality and performance. The position offers the opportunity to work remotely with a global team spanning 100+ countries, contributing to a platform that's transforming how companies hire and manage international talent. Deel provides competitive compensation, stock options, and flexible work arrangements, making it an exciting time to join this rapidly growing company.

Last updated 3 days 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 robust 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
  • Hands-on 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
  • Provided computer equipment tailored to your role
  • Stock grant opportunities
  • Additional perks and benefits based on employment status and country
  • Flexibility of remote work
  • WeWork access where available

Interested in this job?

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