Senior Data Engineer

About Hello Heart

Hello Heart is on a mission to change the way people care for their hearts. The company provides the first app and connected heart monitor to help people track and manage their heart health. With Hello Heart, users take steps to control their risk of heart attacks and stroke – the leading cause of death in the United States. Peer-reviewed studies have shown that high-risk users of Hello Heart have seen meaningful drops in blood pressure, cholesterol and even weight. Recognized as the digital leader in preventive heart health, Hello Heart is trusted by more than 130 leading Fortune 500 and government employers, national health plans, and labor organizations. Founded in 2013, Hello Heart has raised more than $138 million from top venture firms and is a best-in-class solution on the American Heart Association’s Innovators’ Network and CVS Health Point Solutions Management platform. Visit www.helloheart.com for more information.

About The Role

Our Senior Data Engineer will play an essential role by building the underlying infrastructures, collecting, storing, processing and analyzing large sets of data, while collaborating with researchers, architects, and engineers, in order to design and build high-quality data processing for our flows.

In this role, you are responsible for end-to-end development of the data pipeline and data models, working with major data flow that includes structured and unstructured data. You will also hold responsibility for operating parts of our production system. Your focus will be on developing and integrating systems that retrieve and analyzing data that influence people's lives. This role for our Tel Aviv office is a hybrid role working at least two days per week in the office.

Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS, Snowflake, Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and more.

The ideal candidate will be

• A technology enthusiast – who loves data and get shiver excitement from tech innovations.
• Desire to know how things work and a greater desire to improve them.
• Intellectual curiosity to find unusual ways to solve problems.
• Comfortable taking on challenges and learning new technologies.
• Comfortable working in a fast-paced dynamic environment.
  
  

• 6+ years experience of designing and implementing server-side Data solutions.
• Proven experience in creating and optimizing big data processes, pipelines and architectures.
• Proven experience with AWS ecosystem.
• Proven experience with DWH solutions (e.g. Snowflake, Redshift, Databricks).
• Experience working on production grade projects.
• Experience with Python.
• Proven experience with Kubernetes in Production.
• Experience with implementing GenAI into data flows.
• Familiarity with Apache Airflow - Advantage
• Familiarity with distributed systems and technologies (e.g. Spark, Hadoop, MapReduce) - Advantage