Data Engineer

Global platform enabling businesses to hire anyone, anywhere, providing payroll and compliance solutions.
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 the global hiring landscape with a valuation of $12B after raising an additional $50M in 2023. As a Data Engineer on the Data Platform team, you'll be instrumental in shaping the future of 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 maintaining data integrity across the organization.

The position offers an opportunity to work with cutting-edge technologies like Snowflake, Airflow, dbt, and Fivetran, while contributing to a platform that enables millions of jobs worldwide. You'll be part of a diverse global team spanning over 100 countries, working on challenging problems in data engineering, governance, and infrastructure scaling.

The ideal candidate brings 3+ years of data engineering experience, strong Python and SQL skills, and expertise in cloud-based data warehouses. You'll work on everything from pipeline optimization to data governance, supporting Deel's mission to create a world without hiring borders.

Working at Deel means joining a rapidly growing company that's transforming how global hiring works. With competitive compensation, stock grants, and flexible remote work options, you'll be part of a team that values diversity, innovation, and technical excellence. The role offers significant growth potential as you help build and scale the data infrastructure of a market-leading platform in the international payroll and compliance space.

Last updated 3 months 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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