Babylist is hiring a
Senior Data Engineer

Summary

Babylist is seeking a Senior Data Engineer with 7+ years of experience in data engineering, proficient in Python and AWS ecosystem. The role involves building and optimizing data pipelines, developing ML pipelines, enhancing and scaling data systems, collaborating with Analytics Engineers, and implementing data monitoring tools. Babylist offers competitive pay, benefits like health insurance, retirement benefits, paid time off, remote work, flexible hours, bonuses and incentives, professional development opportunities, wellness programs, family and parental leave, and a great work/life balance.

Requirements

• 7+ years of hands-on experience in data engineering, with a strong focus on production-grade coding (preferably in Python)
• Proficient with data orchestration tools like Airflow and dbt, with a solid understanding of data modeling and ETL principles
• Experienced in managing and deploying cloud data resources within the AWS ecosystem (EC2, S3, Lambda, EKS)
• Familiar with modern data warehousing systems, such as Snowflake, and comfortable with deploying and maintaining Machine Learning models in a production environment

Responsibilities

• Build and optimize data pipelines for seamless data ingestion into our data warehouse, with a focus on scalability and performance
• Develop and maintain ML pipelines, supporting our data scientists to operationalize models and integrate them with our data infrastructure
• Enhance and scale our data systems, ensuring they meet the evolving needs of our business

Preferred Qualifications

• Experience in supporting data modeling initiatives and collaborating closely with Analytics Engineers
• Familiarity with data observability platforms like Monte Carlo for ensuring data integrity across our platforms

Benefits

• Competitive pay and meaningful opportunities for career advancement
• Company paid medical, dental, and vision insurance
• Generous paid parental leave policy
• 401k with company match
• Wellness programs
• Remote work, flexible hours
• Bonuses and incentives
• Professional development opportunities