Senior Data Engineer

Who We Are

Babylist is the trusted platform for millions of growing families. For over a decade, Babylist has been the technology solution for expecting parents and the community that supports them, expanding from baby registry into a full-service platform that helps parents make decisions with confidence, stay connected, and build happy and healthy families. Every year Babylist helps over 9M people make purchases through its registry, app, ecommerce shop, and comprehensive product guides. The Babylist ecosystem now includes Babylist Health, which provides access to products and services including insurance-covered breast pumps, Expectful, a new voice in health and wellness for pre-pregnancy through postpartum care, and The Push, a branded content studio that works with the biggest companies in the baby space. With over 59M monthly pageviews and 1.2M TikTok followers, Babylist is a generational brand leading the $88 billion baby product industry. To learn about Babylist’s registry options, editorial content, and more, visit www.babylist.com

Our Ways of Working

We have team members located across the United States spanning multiple time zones. This means we put in extra effort to make sure we connect and collaborate in ways that make sense for us. We know how valuable the flexibility of remote work is for our employees. 

We know that personal connection is the foundation for the great work we do together. In order to build those relationships with team members in other cities, we meet with coworkers in person two times a year at a full company offsite and a departmental offsite. These offsites are expected of employees and are great opportunities to meet the people you work with every day and to do some of the work that is much more difficult to do virtually.

Our Tech Stack

• Data Platform: Snowflake
• Data Orchestration: Airflow, dbt, Stitch
• ML & Data Science: SageMaker, Hex
• Cloud Infrastructure: AWS (EC2, S3, Lambda, EKS)
• Data Quality: Monte Carlo
• BI: Sigma

What the Role Is

The Data Team at Babylist powers data-driven decision-making across all aspects of the company’s business. As a central data team, we focus on three core aspects of data: engineering, analysis, and data science. We are seeking a highly skilled Senior Data Engineer to help define the next stages of maturity in our data platforms, with a strong emphasis on building and scaling Machine Learning (ML) pipelines.

You are a dedicated professional with a passion for data engineering, data architecture, and DevOps, who enjoys building systems that are both robust and scalable. You will play a critical role in our growing Data Engineering team, working cross-functionally with product managers, analysts, data scientists, and various business functions to deliver data solutions that drive product growth and innovation at Babylist.

Who You Are

• 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
• A proactive problem-solver with a strong focus on delivering high-quality solutions
• 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

How You Will Make An Impact

• 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
• Collaborate with Analytics Engineers (AEs) to support data modeling and ensure the integrity and reliability of our data assets
• Implement and improve data monitoring tools to cover complex user journeys across multiple systems
• Partner with internal teams and external stakeholders to deliver end-to-end data solutions, from data ingestion to advanced analytics

Why You Will Love Working At Babylist

• We invest in the infrastructure you’ll need to be supported and successful: tools, opportunities to connect with colleagues, and a stipend to help you set up your office
• We build products that have a positive impact on millions of people’s lives
• We work at a sustainable pace which means work/life balance is a real thing here
• We believe technology and data can solve hard problems 
• We believe in exceptional management 
• We are an antiracist organization and doing the work to support differences of all kinds
• We offer competitive pay and meaningful opportunities for career advancement
• We have great benefits like company paid medical, dental, and vision, a generous paid parental leave policy, and 401k with company match
• We care about employee wellbeing with perks for physical, mental and emotional health, parenting, childcare, and financial planning

Babylist takes a market-based approach to pay, and pay may vary depending on your location. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location.

The estimated pay range for this role is $133,000.00 - $199,408.00

In addition, Babylist offers equity, bonus, and benefits, including company paid health, dental and vision insurance, 401(k) matching, flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies.

 

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All of our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@babylist.com), instant messaging platforms or unsolicited calls.

 

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