24 Jul
Data Engineer
Vacancy expired!
- From a programming language perspective, we use Python, Scala, and NodeJS.
- For services and web applications, we use Flask (REST) and React with MySQL backends.
- On the Data/Machine Learning side, we use a variety of big data technologies such as Airflow,
- Big Query, Spark (DataProc), Google Cloud Storage, Google Pub/Sub, Cloud SQL, Tensorflow, KubeFlow, scikit-learn, XGBoost, Shap.
- Google Cloud is our cloud partner. Our long-term strategy is to be multi-cloud.
- Most of our infra is running on GKE and it's managed via Terraform.
- Discretionary PTO
- 401(k) Retirement Plan
- Health + Vision + Dental Benefits
- Employee Referral Program
- Paid Parental Leave
- Professional Development
- You have contributed to the delivery of complex applications spanning the full ML operational lifecycle.
- You are organized and able to explain your work, your challenges, your solutions, and the nature of your questions
- You like and appreciate the entrepreneurial environment of an early-stage start-up
- At least a BS in Computer Science or equivalent
- 5+ years of software engineering experience with Python, SQL and other modern programming languages.
- 3+ years as a software engineering
- Hands-on engineering experience with modern software stacks, cloud-based DaaS and SaaS platforms, and architectures
- Experience with modern development methodologies (Agile, Kanban, XP, etc.)
- Experience supporting teams doing ML model prototyping, training and productionalization.
- Experience with streaming and batch technologies such as Dask, Beam, Spark, etc.
- Experience in healthcare informatics and data
- Demonstrated technical project management skills
- Experience managing teams
- You are excited by the idea of using data to make the healthcare industry more efficient and effective.
Vacancy expired!