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Join Our World-Class Health App Team as a Data Engineer and Impact Global Health Access
Overview
Salary
No salary declared 😔
Location
Vilnius, Vilnius, Lithuania,
Expires
Expires at anytime
Join an innovative team dedicated to developing a groundbreaking health app that's revolutionizing the way millions of users worldwide manage their health. Our company is at the forefront of leveraging cutting-edge technologies like machine learning and AI to deliver personalized and medically sound health advice. We are on a mission to empower individuals with accurate health information and predictions, making a tangible difference in the world.
- Organization summary
- Role Summary
- Role Requirements
Role Summary:
- Develop scalable data pipelines and ensure data quality.
- Contribute to machine learning models with feature engineering for enhanced accuracy and personalization.
- Design Big Data solutions and advance our Data Platform Product.
- Create tools and components for data users.
- Collaborate with cross-functional teams including backend and machine learning engineers.
- Maintain vigilance over production processes with a detail-oriented approach.
Role Requirements:
- 8+ years of experience in Engineering roles.
- Proficiency in Scala or Python.
- Expertise in Data Platforms, specifically Data Lake/LakeHouse, and Spark.
- Strong understanding of data warehousing, ETL/ELT concepts, and cloud data stacks.
- Desirable: Experience with AWS, Databricks, data modeling, data quality frameworks, and production Machine Learning systems.
We're a world-class team of product builders, engineers, data scientists, growth hackers, user researchers, designers, and medical experts — all building an app that generates long-term value for our millions of users worldwide. Our engineers aren’t just building a better product; they’re making the world a better place by improving access to important health information. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, and medically credible health tips.
We are looking for a person who understands the value of the data, treats it as a valuable resource, and has good engineering skills. You will be responsible for the scalable data pipelines, data quality, and feature engineering for our machine learning models to deliver more accurate, more personal, and more explainable solutions for women’s health issues.
We're not a service team; we're the architects of a product suite dedicated to empowering every corner of our organization with actionable insights. Our expertise in Data Engineering and Data Quality isn't just a badge of honor; it's the cornerstone upon which our company's analytics and data pipelines stand tall.
What you’ll be doing:
- Play a role in shaping strategies for Big Data Solutions and advancing our Data Platform Product.
- Design tools and components for data users.
- Engineer scalable and reliable data pipelines.
- Design and engineer data quality.
- Work as a part of a cross-functional team with backend and machine learning engineers.
- Put attention to detail and keep a watchful eye on production processes.
What we’re looking for:
Must have:
- 8+ years of prior experience in an Engineering role.
- Strong programming skills in Scala or Python.
- Proven experience with Data Platforms (Data Lake/LakeHouse).
- Expert knowledge of Spark.
- A deep understanding of data warehousing and ETL/ELT concepts
- Experience 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
