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
3+ years of experience
Enterprise SaaS · Finance

Description For Data Engineer

Deel is a rapidly growing global platform valued at $12B that's revolutionizing how companies hire and manage talent worldwide. 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 data quality and security.

The position offers the opportunity to work with modern data technologies like Snowflake, Airflow, and dbt, while handling complex data challenges at scale. You'll be responsible for building and maintaining robust data systems that power actionable insights across the organization. The ideal candidate brings strong technical skills in Python and SQL, experience with data warehousing, and a collaborative mindset.

Deel offers a competitive compensation package including equity opportunities, remote work flexibility, and various perks based on location. The company's mission is to enable borderless hiring, connecting global talent with great opportunities. With recent funding securing a $12B valuation, Deel is positioned as the market leader in international payroll and compliance, making it an exciting time to join the team.

Working at Deel means being part of a diverse, global team spanning 100+ countries, contributing to a platform that's reshaping the future of work. The role combines technical challenges with business impact, offering growth opportunities in a fast-paced, innovative environment.

Last updated 12 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 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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