Data Engineer

All-in-one payroll and HR platform for global teams, combining HRIS, payroll, compliance, benefits, performance, and equipment management.
Data
Mid-Level Software Engineer
Remote
5,000+ Employees
3+ years of experience
Enterprise SaaS · Finance

Description For Data Engineer

Deel, the fastest-growing SaaS company in history, is seeking a Data Engineer to join their Data Platform team. As part of a company valued at $12 billion with $800 million in ARR, you'll work on enhancing data quality, optimizing pipeline performance, and building robust platform tools. The role involves working with a sophisticated data stack including Snowflake, Airflow, dbt, and Fivetran, supporting 30+ Analytics Engineers and 100+ data professionals. You'll be responsible for designing and implementing scalable data pipelines, enforcing data governance, and collaborating with cross-functional teams. The position offers the opportunity to work remotely while contributing to a platform that processes $11.2 billion in payments across 100+ countries. Deel combines HRIS, payroll, compliance, benefits, and performance management into one seamless platform, serving as the infrastructure for the future of work. The company's impressive growth is reflected in recognitions like CNBC Disruptor 50, Forbes Cloud 100, and Deloitte Fast 500. This role requires strong technical skills in Python and SQL, experience with data warehousing, and the ability to work effectively in a global, distributed team environment.

Last updated 14 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
  • 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
  • Stock grant opportunities
  • Remote work flexibility
  • WeWork access (optional)
  • Additional perks based on employment status and country

Interested in this job?

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