Data Engineer - Remote

Overview

As a Data Engineer at GoTo, you will design, develop, and optimize ETL pipelines, build and maintain data lakes, and manage data infrastructure to transform workplace technology.

In Short

• Design and optimize ETL pipelines using PySpark, Hive, and Airflow.
• Build and maintain data lakes using Delta Lake.
• Manage data infrastructure on Amazon EMR and Databricks.
• Collaborate with stakeholders to understand business requirements.
• Implement data modeling best practices for structured and semi-structured data.
• Monitor and improve pipeline performance and reliability.
• Work with version control and CI/CD tools.
• Ensure compliance with data governance and security standards.
• Contribute to data schemas and metadata management.
• Participate in building REST APIs for data services.

Requirements

• Bachelor’s or Master’s degree in a related field.
• 2-4 years of experience as a Data Engineer.
• Strong proficiency in Python, PySpark, and SQL.
• Hands-on experience with Airflow.
• Knowledge of Hive and Delta Lake.
• Experience with EMR on EKS and Databricks.
• Familiarity with containerization (Docker, Kubernetes).
• Understanding of CI/CD best practices.
• Familiarity with cloud infrastructure, preferably AWS.
• Experience with streaming data processing is a plus.

Benefits

• Comprehensive health benefits and life insurance.
• Generous paid time off and self-care days.
• Tuition and reading reimbursement programs.
• Wellness programs and Employee Assistance Program.
• Performance bonus program.
• Monthly remote work stipend.
• Inclusive company culture and employee resource groups.
• Opportunities for continuous learning and professional growth.
• Support for charitable activities and community impact.
• Flexible work environment.