Staff Data Engineer Opportunity at Flo Health

Join us at Flo Health, a leading Series B funded HealthTech company! We are creating the essential digital health partner of tomorrow, empowering millions of women, girls, and people who menstruate around the world. With over 350M+ downloads, 65M monthly users, and a stellar 4.9-star rating on the App Store (from 3M+ reviews), we continue to lead the market. Our mission is supported by seven venture capital firms and a near $1B valuation.

We leverage analytics and AI to build a smarter future where everyone knows their bodies better. Our app, which includes cycle, ovulation, and pregnancy tracking, along with educational content and an anonymized community platform, has been trusted by millions over the years. Join us in our mission to become the essential health partner for women worldwide.

About the Role

As a Staff Data Engineer at Flo Health, you’ll be part of a world-class team of product builders, including engineers, data scientists, growth hackers, user researchers, designers, and medical experts. We focus on building apps that provide long-term value to our millions of users worldwide. Our engineers enhance access to essential health information using machine learning and AI to offer accurate cycle predictions and personalized, medically credible health tips.

We seek an individual who understands the value of data, considers it a valuable resource, and possesses strong engineering skills. In this role, you will be responsible for scalable data pipelines, data quality, and feature engineering for our machine learning models, delivering accurate, personal, and explainable solutions for women’s health issues.

Key Responsibilities

• Shape strategies for Big Data Solutions and advance our Data Platform Product.
• Design tools and components for data users.
• Engineer scalable and reliable data pipelines.
• Ensure data quality.
• Collaborate with backend and machine learning engineers in a cross-functional team.
• Maintain attention to detail and oversee production processes.

Requirements

Must Have:

• 8+ years of experience in an Engineering role.
• Strong programming skills in Scala or Python.
• Proven experience with Data Platforms (Data Lake/LakeHouse).
• Expert knowledge of Spark.
• Deep understanding of data warehousing and ETL/ELT concepts.
• Experience with cloud data stacks.

Nice to Have:

• Experience with AWS & Databricks.
• Experience with data modeling.
• Experience with data quality frameworks.
• Experience with production Machine Learning systems.

Rewards and Benefits

We believe in keeping our employees happy, well-paid, and supported. Alongside competitive salaries, Flo’s employees enjoy:

• Flexible working environment with options to work from home or the office.
• Company equity grants through Flo’s Employee Share Option Plan (ESOP).
• Paid holiday and sick leave.
• Fully paid health and sick leave, in addition to regular leave.
• Workations – the opportunity to work abroad for two months a year.
• Six months paid maternity leave, and one month paid paternity leave, inclusive of same-sex and adoptive parents.
• Career growth, progression, and learning development resources.
• Annual salary reviews.
• Unlimited free premium Flo subscriptions.
• Additional benefits (health/pension/social schemes).

Our Culture

At Flo Health, we’re problem solvers, adaptable, empathy-driven, and results-oriented. We thrive in a fast-paced, multi-national, multi-cultural, and ever-changing environment. Everyone plays a role in achieving our powerful mission, ready to ideate solutions and put them in place. While being part of a growing business may be challenging, our mission is always at the heart of what we do.

Diversity, Equity, and Inclusion

Flo Health’s strength lies in the diversity of our workforce. We are committed to equal opportunities at all recruitment and selection stages. We evaluate talent based on individual merit and qualifications relevant