Babylist

Senior Data Engineer

Job description

The Data Team at Babylist powers data-driven decision making through all aspects of the company's business. We are a product function with a strong focus on 3 core aspects of data: engineering, analysis, and data science. We are looking for a Data Engineer to build and scale our core data platform. This work and the role is foundational for our team and strategic for our business.

You are a dedicated professional whose interests lie on the cusp of data engineering, data architecture and DevOps. You like getting things done and building them right. You will work cross-functionally with our product managers, analysts, data scientists, and business functions.

As a Data Engineer, you will be joining a growing data engineering team at Babylist and will directly shape the data vision for the company through your work. You will hone your craft as a data professional while working on our state-of-the-art data stack.

You will be responsible for building and scaling data tools for our analysts and data scientists that enable product growth at Babylist.

What You'll Do:

  • Custom and third-party data pipelines for data ingestion into the data warehouse
  • Optimize our data architecture systems as we continue to grow
  • Improve data monitoring coverage for complex user journeys between multiple systems
  • Infrastructure for machine learning models
  • Building internal APIs to surface our machine learning products
  • Partner with internal groups and external customers to build end to end data solutions
  • Data Quality, Monitoring and SLA
  • Implement data standards across the organization

Who You Are:

  • 5+ years hands-on experience writing and deploying production grade code
  • Solid experience with language like Python
  • Familiar with data orchestration tools like Airflow, dbt, etc
  • Strong understanding of data modeling/ETL principles and modern data warehousing systems like Snowflake
  • DevOps in disguise: Comfortable with the AWS ecosystem including managing and deploying cloud data resources (EC2, S3, Lambda, EKS)

Nice to Have

  • Deploying and maintaining Machine Learning (ML) Models

Our Tech Stack

  • Snowflake
  • Airflow
  • DBT
  • Sagemaker
  • AWS

Why You Will Love Working At Babylist:

  • We are a remote first company and invest in 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 committed to providing an actively 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 well-being with perks for physical, mental and emotional health, parenting, childcare, and financial planning

About Babylist

Babylist is the leading destination for baby commerce, where 8 million people each year buy what they need to welcome a new baby. We serve parents and the community of grandparents, friends and relatives around each baby - connecting everyone who helps plan, prepare and shop for the new arrival. From the add anything from anywhere registry for new parents, to the expert advice and product ideas for gift givers, there is no more trusted, go-to solution for growing families.

If your experience is close to what we're looking for, please consider applying. Experience comes in many forms – skills are transferable, and passion goes a long way. We know that diversity makes for the best problem-solving and creative thinking, which is why we're dedicated to adding new perspectives to the team and encourage everyone to apply.

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