Preferred locations: MN, AZ, TX, FL

Responsible for implementation and delivery of backend services and data platform frameworks. They will write code and server-less functions, and leverage PaaS and IaaS cloud offerings to build services that support data management, infrastructure, AI services, and industry interoperability. They will contribute to projects and development efforts using agile methodologies.

ROLE RESPONSIBILITIES
• Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and T-SQL.
• Build APIs, data microservices and ETL pipelines, to share data with internal and external partners and write interfaces to public data sets to enrich our analytics data stores.
• Participate in building and owning a culture of DevOps and Quality Assurance.
• Continuously document your code, framework standards, and team processes.
• Build and support Data Ingestion frameworks deployed in Azure.
• Other duties and responsibilities as assigned.

EDUCATION, TRAINING, AND PROFESSIONAL EXPERIENCE:
• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or equivalent experience required.
• Eight (8) or more years of experience in an enterprise or commercial software development environment. Healthcare IT background is highly preferred.
• Enterprise development experience coding in at least one, but preferably more than one, procedural/OO language, including C#, Scala, Python.
• Experience building batch and streaming data pipelines (Scala).
• Experience with API design.
• Extensive experience developing data-intensive solutions in a Cloud environment.
• Extensive experience developing solutions that use event sourcing and/or Big Data architectures.

Preferred Qualifications:
• Experience engineering big-data solutions using technologies like Databricks, Hive, and Spark.
• Experience with functional programming in Scala
• Experience building distributed systems with microservices and/or service-oriented architectures
• Experience working within an Azure environment. Hands on Azure admin and DevOps experience is a plus.
• Familiarity with containerization/virtualization, e.g., Docker, Kubernetes
• Familiarity with Databricks infrastructure management
• Familiarity with CI/CD best practices

PROFESSIONAL COMPETENCIES
• Self-starter who is comfortable working through ambiguous and novel problems with limited to no guidance
• Team player who is not afraid to ask questions, take risks, share in owning team victories as well as team failures
• Good communicator – both written and verbal – with high emotional intelligence
• Ability to focus on MVP and shipping software while remaining cognizant of the long-term costs of technical debt