Datavant is a data platform company for healthcare whose products and solutions enable organizations to move and connect data securely. Datavant has a network of networks consisting of thousands of organizations, more than 70,000 hospitals and clinics, 70% of the 100 largest health systems, and an ecosystem of 500+ real-world data partners.

By joining Datavant today, you’re stepping onto a highly collaborative, remote-friendly team that is passionate about creating transformative change in healthcare. We invest in our people and believe in hiring for high-potential and humble individuals who can rapidly grow their responsibilities as the company scales. Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working environment in a way that suits their needs.

The Senior Data Engineer will support Enterprise Data & Analytics services as part of the data management group within the Ciox Real World Data (RWD) organization. In this role, the Senior Data Engineer is expected to spearhead the design and architecture of the Ciox RWD Platform encompassing Data Lifecycle functions including Ingestion, Curation and Analytics. The Senior Data Engineer will have demonstrable experience in the Design, Architecture and Data Engineering of complex Data Lakes, Data Warehouses and Analytics Platforms. The Senior Data Engineer will play a critical part on a team of Engineers and Scientist that are making a difference for healthcare stakeholders and empower greater health for patients. 

You will:

Develop using technologies such as Kubernetes, Python, Spark, SQS, Elastic Search, PostgreSQL, Airflow, Redshift, Dremio etc. Design data pipelines and transformations from various data sources of healthcare and medical data to support analytics initiatives throughout the Ciox Health ecosystem Work closely with the Agile teams by providing technical direction and support to by instituting Data Engineering best practices that ensures the development and delivery of high quality and high performance Data and Analytics Pipelines Work with Big Data and Machine Learning Liaison with Development Managers to help define the Development, Quality and Reliability of Data and Analytics Pipelines throughout the full SDLC. Develop and implement strategies to translate business requirements and models into feasible and acceptable data warehouse designs to ensure that business needs are met. Provides data consulting in support of business and information technology initiatives to educate cross functional teams.

What you will bring to the table: 

Bachelors or Master’s in Computer Science, Physics, Engineering or Math. 6-10 years software development experience using the following technologies: Kubernetes Python SQL development Track record of implementing AWS / Azure services in a variety of distributed computing, enterprise environments Track record of working with Elastic Kubernetes Service (EKS) or other container technology Strong knowledge of design patterns and good coding practices

Bonus points if:

Work experience in practicing NLP and Data Science  Healthcare experience Kubernetes Certified Application Developer (CKAD)

 

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