Job details

Data Engineer (Work from Home)

We are transforming healthcare to be value-driven, creating a seamless, consumer-centric care experience that maximizes value for all.

We believe that all health consumers are entitled to high quality, coordinated healthcare. We uniquely align the interests of health consumers, providers, and payors to make high-quality healthcare accessible and affordable to all populations across the ACA Marketplace, Medicare, and Medicaid.

Preferred locations: MN, AZ, TX, FL

A Data Engineer is responsible for implementation and delivery of backend services and data platform frameworks. They will leverage PaaS and IaaS cloud offerings to build services that support data management, infrastructure, AI services, and industry interoperability. They should 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 typically include Scala, C#, T-SQL and PowerShell.
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.
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.
Three (3) or more years of experience serving as a technical lead.
Extensive experience developing data-intensive solutions in a Cloud environment.
Enterprise development experience coding in at least one, but preferably more than one, procedural/OO language, including C#, Java, Scala, Python, PowerShell.
Enterprise 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.
Scala and C#
Experience building batch and streaming data pipelines
Experience with functional programming in Scala
Experience with API design
Experience building distributed systems with microservices and/or service-oriented architectures
Familiarity with containerization/virtualization, e.g., Docker, Kubernetes
Familiarity with Databricks infrastructure management
Familiarity with CI/CD best practices
Hands on Azure admin and DevOps experience

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

As an Equal Opportunity Employer, we welcome and employ a diverse employee group committed to meeting the needs of NeueHealth, 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.

NeueHealth Glassdoor Company Review

No rating