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

Description For Data Engineer

Deel is a rapidly growing global platform valued at $12B that's revolutionizing how companies hire internationally. 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, enforcing data governance, and optimizing performance across the entire data stack. You'll work with cutting-edge technologies like Snowflake, Airflow, and dbt, while collaborating with cross-functional teams to deliver solutions that align with business needs. The position offers the flexibility of remote work, competitive compensation including stock grants, and the opportunity to impact a platform that's transforming global hiring. Deel's culture emphasizes diversity, continuous learning, and innovation, making it an ideal place for data professionals looking to make a significant impact in the future of work.

Last updated 2 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 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
MongoDB
PostgreSQL
  • 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 (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
  • Stock grant opportunities
  • Additional perks based on employment status and country
  • Flexible remote work
  • WeWork access where available

Interested in this job?

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