Data Engineer
A young, innovative e-commerce company in the healthcare industry, pioneering Anti-aging and HRT solutions for women.
We combine modern medical advancements with a deep understanding of hormonal health to address life-changing challenges for women. As an e-commerce company, we leverage a subscription model to ensure that women across the United States can easily access our products and experience consistent care and convenience.
the jos is Fully remote
What are we looking for?
We’re looking for our first Data Engineer with solid experience and a love for SQL to join our lean, high-impact data team.
You’ll be working directly with our Director of Data – your work will directly shape our decision-making across marketing, product, operations, and more.
This is a unique opportunity to contribute across the data stack, grow fast, and take ownership of meaningful problems from day one.
What You’ll Be Doing
• Build and maintain robust SQL pipelines that power dashboards and reporting
• Create and optimize data models and transformations (e.g., in Big Query)
• Work with the Director of Data to support performance marketing, customer lifecycle tracking, and operations.
• Ensure data quality and consistency across sources and platforms
• Help scale our data infrastructure as we grow – from scrappy to scalable Qualifications
• 2-4 years of experience in a data engineering or BI role
• Strong SQL skills – you’re comfortable writing complex queries and thinking in joins and CTEs
• A passion for data accuracy – you care about clean joins, consistent metrics, and trustworthy pipelines
• Experience improving query performance and pipeline efficiency – you know how to spot bottlenecks and optimize for scale
• Experience with Python in a data context: Building complex ETLs, working with APIs, Data manipulations, Airflow Operators
• Experience working with Cloud tools: GCP (BigQuery, Functions, Pub/Sub, Airflow) or Parallel tools in AWS
• Curiosity and autonomy – a natural problem solver who enjoys figuring things out and digging into data
• Passionate about working in a fast-paced environment with changing priorities. Preferred (Nice to Have)
• Familiarity with tools for data transformation
• Exposure to e-commerce, subscription metrics, or marketing analytics • Attribution model knowledge
• Looker / Looker Studio knowledge Employment Type Full-time
irithebh@gmail.com