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Senior Data Engineer (R&D)

Corti

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Data Science

Copenhagen, Denmark

Posted on Wednesday, September 20, 2023

There is no quality healthcare without a quality dialogue. Today, that dialogue is broken; we need you to help us fix it.

Are you interested in contributing to solving real-life problems in healthcare by applying cutting-edge technology? Do you have a passion for building great infrastructure and understand what it takes to scale data pipelines effectively? Does the thought of dealing with huge volumes of data from around the world sound like your ideal day?

If you answered yes to the above, join Corti's R&D team as a Senior Data Engineer to be part of pioneering the development of products in healthcare. Our team is responsible for bringing Corti’s innovative machine learning into production in diverse healthcare environments, empowering decision making of medical experts around the world. As part of this team, you'd co-own the entire technology stack related to data ingestion, allowing the team to effectively innovate new machine learning models, allowing Corti’s products to stay on the forefront of the technological innovation sphere.

Join us as an integral part of a fun, autonomous, and team-oriented culture, guided by shared values, a high bar for quality, and a willingness to experiment. At Corti, you will learn by working day-to-day with professionals in software engineering, machine learning, and data science — are you up for the adventure?

Responsibilities:

Build, own, and maintain an effective data ingestion pipeline that allows for efficient training of new machine learning models
Design a data ingestion pipeline that can support both internal and public data sets
Ensure compliance by having data remain in Microsoft Azure or other external location, while training occurs in a self-hosted server location
Anticipate performance and scaling factors
Work with Machine Learning Engineers to proactively support their needs
Ensure that all policies and actions around data storage and access are secure and compliant
Create tooling, as needed, that limits and restricts access to data, so training can be done in effective but compliant manners

Required experience:

2-4 years of work experience in Data Engineering or Software Engineering
Experience with Python
Experience with a Linux-based operating system, command-line interfaces, client-server architectures, and cloud computing
Building systems that can process very large volumes of data and scale effectively
Knowledge of relational and non-relational databases, REST & CRUD APIs
You know how to use version control tools and effectively collaborate with other engineers
Strong analytical, software engineering, and problem-solving skills
Strong written & verbal English communication skills

Bonus experience:

MSc degree in Mathematics, Data Engineering, Computer Science, or relevant field

Practicalities:

The position is full-time and starts as soon as possible
Hybrid work environment from our amazing office in central Copenhagen!

But hey.. what are the benefits?

Medical Insurance
Vacation PTO: 25 holidays for all employees on top of national holidays
Sick leave PTO: Paid sick leave when needed
Equipment: Computer, monitor, laptop stand where needed
Flexibility: Flexible work hours
Company and team trips: Go somewhere with us and get to know your team at least every six months!
Yearly offsite with the entire company (this year, we went to Portugal!)

Ready to dive into the world of Corti? Hit that 'Apply' button, and let's start working together on reshaping the dialogue in healthcare, making a real difference for millions of patient outcomes around the world.

🤝 Bringing in top talent from all backgrounds is crucial in our pursuit to improve the world of healthcare. We encourage applications from all people and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, and/or disability status.

At Corti, experience comes in many forms, and we’re passionate about creating teams with a multitude of perspectives! If you believe your experience is close to what we’re looking for but not an exact match, we still hope you’ll consider applying!