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Description:
Babylist is a trusted platform for growing families, offering technology solutions for expecting parents and their community.
The company helps over 9 million people make purchases through its registry, app, ecommerce shop, and product guides.
Babylist ecosystem includes Babylist Health, Expectful, and The Push, with over 59 million monthly pageviews and 1.2 million TikTok followers.
The Data Team at Babylist focuses on data engineering, analysis, and data science, seeking a Senior Data Engineer to enhance data platforms and scale Machine Learning pipelines.
The role involves collaborating with various teams to deliver data solutions driving product growth and innovation.
Requirements:
7+ years of hands-on experience in data engineering, with proficiency in Python for production-grade coding.
Strong knowledge of data orchestration tools like Airflow and dbt, data modeling, and ETL principles.
Experience in managing cloud data resources within the AWS ecosystem (EC2, S3, Lambda, EKS).
Familiarity with modern data warehousing systems like Snowflake and deploying Machine Learning models in production.
Proactive problem-solver with a focus on delivering high-quality solutions and supporting data modeling initiatives.
Experience with data observability platforms like Monte Carlo for ensuring data integrity.
Benefits:
Babylist invests in the infrastructure needed for success, provides tools, opportunities to connect with colleagues, and a stipend for setting up a home office.
The company builds products with a positive impact, promotes work/life balance, and believes in using technology and data to solve challenging problems.
Babylist offers competitive pay, opportunities for career advancement, and benefits like company-paid medical, dental, vision insurance, and generous paid parental leave.
Employee wellbeing is a priority with perks for physical, mental, and emotional health, parenting, childcare, and financial planning.