Our Mission is to Make Healthcare Right. Together. Built upon the belief that by connecting and aligning the best local resources in healthcare delivery with the financing of care, we can deliver a superior consumer experience, lower costs, and optimized clinical outcomes.
What drives our mission? The company values we live and breathe every day. We keep it simple: Be Brave. Be Brilliant. Be Accountable. Be Inclusive. Be Collaborative.
If you share our passion for changing healthcare so all people can live healthy, brighter lives – apply to join our team.
We're looking for a Lead Software Engineer to join our Data Platform team to help us implement and deliver backend services and data platform framework. By leveraging PaaS and IaaS cloud offerings, you will help us support data management, infrastructure, AI services, and industry interoperability. A Lead Engineer is expected to contribute to projects and development efforts using agile methodologies, you will also help mentor engineers on the team to help us with fundamental execution.
Design and implement elastic, cloud native data pipelines and capabilities with big data ecosystem technologies, typically with Apache Spark, Hive, Databricks, Azure Logic Apps
Support data centric use cases across the enterprise, including BI, analytics, data science/machine learning, product engineering, and other business functions
Apply Cloud Native and Object Oriented designs and resiliency patterns
Participate in building and owning a culture of DevOps and DataOps by implementing Infrastructure as Code patterns for fully automated cloud deployments
Build APIs and data microservices to share our data with internal and external partners, and write interfaces to public data sets to enrich our analytics data stores
EDUCATION, TRAINING, AND PROFESSIONAL EXPERIENCE
Seven (7) or more years of experience in an enterprise or commercial software development environment. A Healthcare IT background is highly preferred.
Two (2) years of experience serving as a technical lead.
Extensive experience developing applications with a data component in a Cloud environment
Enterprise development experience coding in at least one, but preferably more than one, OO or functional programming language, including Scala, C#, Python, Java, PowerShell.
Bachelors Degree in Computer Science, related Engineering Field, or equivalent practical experience.
Experience building batch and/or streaming data pipelines using Apache Spark and Hive .
Experience with functional programming in Scala
Experience with API design.
Experience building distributed systems with microservices and/or service-oriented architectures
Familiarity with CI/CD best practices and implementation, including hands on experience with toolsets such as Apache Maven, SBT, Azure Devops
Hands on experience with Azure ARM templates, AWS cloud formation, and/or Terraform templates
Familiarity with containerization/virtualization, e.g., Docker, Kubernetes
Enterprise experience developing solutions that use event sourcing and/or Big Data architectures
We are realizing a completely different healthcare experience where payors, providers, doctors, and patients can all feel connected, aligned and unified on the same team. By eradicating the frictions of competing needs, we are making it possible to give everyone more of what they want and deserve. We do this by:
Focusing on Consumers We understand patient pain points, eliminating complexity while increasing transparency, for greater access and easier navigation.
Building on Alignment We integrate and align individual incentives at all levels, from financing to optimization to delivery of care.
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We employ our purpose built, integrated data platform to connect clinical, financial, and social data, to deliver exceptional outcomes.
As an Equal Opportunity Employer, we welcome and employ a diverse employee group committed to meeting the needs of Bright Health, our consumers, and the communities we serve. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.