Posted over 2 years ago

Please note you would need to be based in Eastern or Central time zone for this position.

Who is Current Health?

Current Health is a global healthcare technology company, focused on predicting illness and delivering earlier intervention so that every human can live a healthier, longer life. In 2020, Current Health revenue grew 3.500%, we partner with some of the world’s leading healthcare institutions and pharmaceutical organizations and improving health outcomes for patients across the world.

What does a Data Engineer at Current Health do?

As a specialist in data engineering, you will help us scale our data pipelines to meet new challenges as we grow as a business and gain increasing numbers of customers and use-cases. We are currently improving our event driven, message based microservice platform to embrace real-time, highly available distributed streaming technology which will enable our engineers and data scientists to meet our ambitious product goals over the coming months

Requirements

Sounds great, what experience do I need?

• Have a degree in Computer Science, related field, equivalent training or work experience
• Commercial experience in areas of distributed real-time stream processing and complex event processing tech
• You will have experience working with large amounts of data
• Have a deep knowledge of at least one modern programming language and a willingness to learn new ones as required
• Have experience writing tests and testable code
• Be comfortable reviewing, releasing, deploying and troubleshooting your and other people's code
• Bring experience to the team in areas of distributed real-time stream processing and complex event processing tech
• Have previous success in engineering at scale in a distributed systems environment
• Have a practical understanding of cloud computing and networking - we use AWS with Nomad for micro-service management
• Have experience collaborating with data scientists, product teams and other consumers of data assets

Bonus points for...

• Familiarity with key big data technologies, such as Hadoop, MapReduce & Apache Spark.
• A background involving Apache Kafka or other distributed data streaming platforms
• Experience with API design/development

Technologies we use

• Backend: Java (Spring), Python, .NET
• Frontend: JavaScript (TypeScript), Angular, Ionic, npm
• Databases: PostgreSQL (RDS), Couchbase and others
• Infrastructure: Linux, RabbitMQ, AWS via Terraform, Chef, Nomad, Consul and Fabio
• Data Science and ML: H2O, Jupyter, TensorFlow, Keras and Spark
• Monitoring: DataDog and ELK

Benefits

• 401k contribution up to a maximum of 3% on base salary
• 70% contribution towards Health, Optical and dental plans including partner and family.
• 1 x Life & AD&D Insurance
• Holidays: 33 days per year inclusive of public holidays
• Flexible, autonomous working environment
• Travel expenses covered
• Spec your own environment
• Employee Assistance Program
• Team events
• Monthly snack box