Data Engineer

Papaya Global is a rapidly growing, award-winning B2B tech unicorn with an ambitious mission to revolutionize the payroll & payments industry. With over $400M raised from multiple tier-one investors, our innovative technology provides a comprehensive solution for managing global workforces, encompassing everything from hiring and onboarding to managing and paying employees in over 160 countries.

We are looking for a motivated Data Engineer to join our growing Data team. This is an exciting opportunity to be part of a core group responsible for building, maintaining, and scaling our data platform, while working closely with Product, Engineering, and business teams.

You will play a key role in developing reliable data pipelines, ensuring data quality and consistency, and enabling data-driven decision-making across the organization.

Responsibilities

• Design, build, and maintain data pipelines and data models to support analytics and reporting needs
• Work with structured data across databases, data lakes, and data warehouses
• Write efficient and maintainable SQL and Python code for data transformation and validation
• Ensure data quality, consistency, and basic data lineage across systems
• Collaborate with Product, Engineering, and business stakeholders to understand data requirements
• Support dashboards and reporting tools by providing clean, well-modeled data
• Contribute to improving data standards, documentation, and best practices
  
  

• 1–3 years of experience in data engineering, analytics engineering, or a related role
• Bachelor’s degree in a quantitative, technical, or related field, or equivalent practical experience
• Strong SQL skills with hands-on experience in data querying and transformations
• Experience using Python (or similar) for data processing and automation
• Familiarity with modern data platforms, including data warehouses, databases, and data lakes
• (e.g. Snowflake, Postgres, BigQuery)
• Experience with data transformation and modeling tools such as dbt or SQLMesh
• Familiarity with BI and visualization tools (Tableau, Superset, or similar)
• Detail-oriented, collaborative, with strong communication skills
  
  

• Experience with workflow orchestration tools such as Airflow or similar
• Proficiency with Git/GitHub for version control and collaboration
• Experience working in an Agile environment (Scrum/Kanban) with cross-functional teams