Data Engineer - Data Platform Team

About the Role We are looking for a motivated and curious Data Engineer to join our Data Platform team. In this role, you will work on building, optimizing, and maintaining the data systems that power analytics, reporting, and product features across the organization. This is an excellent opportunity for someone with strong SQL and Python skills who is eager to learn new technologies and grow in a fast-paced environment. Key Responsibilities Design, develop, and maintain reliable data pipelines to ingest, process, and transform data from various sources. Build and maintain data models and schemas to support analytical and reporting needs. Optimize data pipeline performance and efficiency. Troubleshoot and resolve data-related issues. Collaborate with other engineers and stakeholders to understand data requirements and deliver solutions. Implement and maintain data quality checks and monitoring. Participate in code reviews and contribute to the team's best practices. Stay up-to-date with the latest data engineering technologies and trends. Qualifications Bachelor's degree in Computer Science, a related field, or equivalent experience. 2+ years of experience in data engineering or a related role. Strong proficiency in SQL and Python. Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery). Experience with data pipeline tools (e.g., Airflow, Prefect, Luigi). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Excellent communication and collaboration skills. Ability to work independently and as part of a team. Bonus Points Experience with Spark or other big data processing frameworks. Experience with data modeling and schema design. Experience with DevOps practices and tools. Familiarity with data governance and security best practices. Benefits Competitive salary. Comprehensive health insurance. Paid time off. Professional development opportunities. Stock options.