About the job
Description
Description
At AliveCor, we imagine a healthier world powered by access to personalized intelligent information. Heart disease kills more people than anything else in the western world, including all cancers combined. We're on a mission to be the world's heart health partner by enabling access to quality heart care for everyone. AliveCor has pioneered over-the-counter medical EKG devices and continues to lead the way in empowering consumers and patients to take care of their heart. Using our FDA-cleared medical-grade hardware and software, hundreds of thousands of users have taken more than 250-million heart health measurements and counting.
Role Overview
We are seeking a Data Engineer to lead the development and optimization of our data architecture. This crucial role involves building and maintaining scalable data pipelines. We are looking for a detail-oriented, hands-on individual who can manage multiple projects simultaneously.
Role & Responsibilities
- Design and implement robust data pipelines to extract data from various distributed systems, including production databases, analytics tools, and data warehousing solutions.
- Automate and streamline existing data collection processes to enhance efficiency and scalability.
- Categorize and segment data effectively to support targeted analysis and derive meaningful insights.
- Conduct complex data analyses and develop classifiers using Python, applying statistical methods and machine learning algorithms as needed.
- Develop and maintain detailed dashboards and reporting systems to monitor key metrics and communicate insights to stakeholders across the company.
- Collaborate closely with engineering teams to ensure comprehensive data capture and integration into our systems for ongoing analytics needs.
Skills Required
- Highly proficient in SQL and Python, familiarity with R is a plus.
- Strong foundation in statistical analysis, especially with applications in data science.
- Experience in building and deploying machine learning models.
- In-depth knowledge of database management and architecture, with experience in both SQL and NoSQL platforms.
- Data wrangling + ETL; be able to transform and aggregate raw data into quality, usable databases for analyses and model-building.
- Proficient in using Postgres, AWS technologies like DynamoDB, Athena and Redshift
- Experience in using Apache Airflow
Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- At least 3-5 years of relevant professional experience in data engineering or a related role.
- Demonstrated ability to work independently and as part of a team in a dynamic and fast-paced environment.
Benefits & Perks
- Hybrid working model
- Flexible and generous vacation policy
- Maternity / Paternity Leave/ Adoption/ Commissioning leave
- Generous Medical Benefits - Above market family floater medical insurance coverage including both parents or in law parents
- Metro connectivity from office
- A supportive, collaborative group of people who understand that success depends on the team
AliveCor Is An Equal Opportunity Employer
AliveCor is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any other classification protected by federal, state, or local law.
Learn More About Our Innovations
KardiaMobile: How's your heart?: https://www.youtube.com/watch?v=8I9xosgA-Ig
