Data Quality Engineer

Description: Join Jupiter, a leader in analytics for climate risk management, as a Data Quality Engineer. Ensure the integrity, validation, and reliability of data pipelines for product launches and iterations. Requirements: 3+ years of experience in data engineering, data quality, or analytics engineering roles. Proficient in Python, Git, Docker, data validation, and AWS (especially S3). Experience with data exploration tools like pandas and SQL, and DAG-based ETL orchestration (Prefect or similar). Bachelor's degree in computer science, statistics, or related field, or equivalent practical experience. Benefits: Competitive hourly rate of $55 - $65, adjusted based on location and experience. Commitment to diversity and inclusion, with a focus on building an inclusive environment.