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 a global platform revolutionizing how businesses hire talent worldwide, valued at $12B after their latest funding round. The Data Platform team is seeking a Data Engineer to enhance data quality, optimize pipeline performance, and build robust platform tools. You'll be part of a team managing the entire data stack, working with 30+ Analytics Engineers and 100+ data professionals.

As a Data Engineer, you'll design and implement scalable data pipelines using modern tools like Snowflake, Airflow, and dbt. You'll collaborate with cross-functional teams to deliver solutions aligned with business needs, implement data governance policies, and maintain data integrity and security. The role involves developing ELT processes, optimizing SQL queries, and building cutting-edge development environments.

The ideal candidate brings 3+ years of experience in data engineering, strong Python and SQL skills, and experience with cloud data warehouses. Knowledge of data streaming, infrastructure tools like Terraform, and compliance requirements is essential. You'll join a diverse global team of over three thousand professionals across 100+ countries, contributing to a platform that's reshaping global hiring practices.

Benefits include competitive compensation, stock grants, flexible remote work options, and various perks based on location and employment status. Join Deel in building a world-class data platform that drives actionable insights and scales with their rapidly growing business.

Last updated a month 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 data governance policies
  • Develop and maintain ELT processes
  • Optimize SQL queries
  • Diagnose and resolve data-related issues
  • Build CI/CD system
  • Ingest data from external systems via APIs

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
  • 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
  • Stock grant opportunities
  • Additional perks based on employment status and country
  • Flexible remote work
  • WeWork access where available

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