Junior Data Engineer

As a Junior Data Engineer, the candidate will help build and maintain the data infrastructure that powers analytics and machine learning across the organization. This role focuses on developing reliable data pipelines that move information from source systems into analytics-ready formats, ensuring data quality and consistency along the way.

The position offers hands-on experience with modern data engineering tools and cloud platforms, with mentorship from senior engineers who are invested in professional growth. The ideal candidate is someone who enjoys solving technical puzzles, cares about data quality, and wants to build the foundation for data-driven decision making.

This is an excellent opportunity for someone early in their career to develop expertise in a high-demand field while contributing to real projects that impact the business.

• Build and maintain ETL pipelines to ingest data from various sources
• Write SQL queries to transform and validate data
• Monitor data pipeline health and troubleshoot failures
• Document data flows, schemas, and transformation logic
• Support data quality initiatives and testing efforts
• Collaborate with analysts to understand data requirements

• 0-2 years of experience in data engineering or related field
• Proficiency in SQL and Python
• Understanding of ETL concepts and data warehousing fundamentals
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Strong problem-solving skills and attention to detail
• Bachelor's degree in Computer Science, Engineering, or related field

• Medical, dental, and vision insurance
• 401(k)
• Paid time off

Job details and compensation are subject to change.