The way we pay for healthcare in America today is fundamentally broken, burdened by layers of avoidable inefficiencies that drive up costs while creating damaging delays in the process.
Nomi Health was founded in 2019 as a direct healthcare company with a simple yet bold mission: retool how we pay for healthcare to create a more cost-effective and simply effective - experience for employers, patients and providers alike. The Nomi Health team, now 70 employees strong worldwide, collaborates under the leadership of game-changing executives hailing from the likes of Imagine Health, Optum, HireVue and
Goldman Sachs.
In the face of the pandemic, Nomi Health put its direct healthcare model to work, mobilizing to create and deliver effective, efficient, and quality COVID-19 solutions to local governments, employers, and organizations. We invite you to join us
in this mission.
Overview:
WHO ARE WE?
The way healthcare is paid for and delivered in America today is fundamentally flawed, making it cost too much and take too long for most Americans. We pay more for our health care than any other developed country, and yet our healthcare outcomes lag far behind. COVID is a wake up call.
Nomi Health was founded in 2019 as a direct healthcare company with a simple yet bold mission: rewire how we pay for healthcare and how it is delivered in order to create the cost-effective - and simply effective - experiences we all deserve as employers, patients and providers.
Our COVID-19 public health programs are a perfect example of a more direct, digital-first health care model at work. Since the start of the pandemic, we have delivered several of the very few "burden-free" testing and vaccination programs in America - not requiring insurance, a doctor's note or cost. Our programs have supported millions of Americans with digital scheduling and result delivery and 24-48 hour test result turnaround times, as well as mobile-based programs to take COVID tests and vaccines directly where they are needed most. Our operational know-how means we can deliver these programs to local governments, organizations and employers at among the lowest per unit costs in the country. Today, we are focused on locking arms with governments and organizations on effective COVID response programs that help Americans return to school, work and life.
Having delivered millions of COVID tests and hundreds of thousands of vaccinations to date, Nomi's journey is just starting in delivering integrated care the way it should be. Our mission won't rest until we rewire health care infrastructure and deliver the kind of health care experience we all deserve in America.
The system must change, and we're the ones to do it. Join us on the journey.
:
WHAT IS A DAY IN THE LIFE?
As a Data Engineer, you will provide technical and domain subject knowledge to the company and future customers. You should be comfortable working in a fast-paced, startup environment. You should be able to know how to examine new data systems requirements and implement migration models. You will also spend a good deal of time problem solving, analyzing architecture, and assessing architect models, reviewing data migrations, selecting platforms, and onboarding of data management solutions that meet the technical and operational needs of the business. You must be hands-on with tools and code.
OK, HOW ABOUT A FEW SPECIFIC RESPONSIBILITIES?
- Contribute to the development of the AI & ML capabilities for the Nomi Health
- Develop and implement data models to guide business decisions
- Work in a fast paced, startup environment
- Mapping data sources, including descriptions of the business meaning of the data, its uses, its quality, the applications that maintain it and the database technology in which it is stored. Documentation of a data source must describe the semantics of the data so that the occasional subtle differences in meaning are understood.
- Documenting interfaces and data movement by recording how mapped data is moved around the virtual enterprise. This includes the frequency of movement, the source and destination of each step, how the data is transformed as it moves, and any aggregation or calculations.
- Designing the movement of data through the enterprise, including sources of data and how the data is moved around in order to be improved.
- Defining integrative views of data to draw together data from across the enterprise. Some views will use a database of extracted data and others will bring together data in near real time, considering data currency, availability, response times and data volumes. Designing canonical data views to limit technical debt as data flows from point-to-point transformation.
- Defining technical standards and guidelines. Assess and document when and how to use the architected producers and consumers, the technologies to be used for various purposes, and models of selected entities, objects, and processes. The guidelines should encourage reuse of existing data stores, as well as address issues of security, timeliness, and quality.
- Investigate and participate in emerging technologies and new release Proofs of Concept (PoCs).
- Leveraging existing [core] data assets.
- Managing related metadata to include business descriptions of the data, details of any calculations or summaries, descriptions of the sources of the data, and indications of data quality and currency.
- Communicating the data architecture across the enterprise.
- Ensuring a focus on data quality by working effectively with data stewards so they can understand data semantics and identify opportunities for improving data quality.
DATA ENGINEER REQUIREMENTS
- Bachelor's degree in Computer Science, Computer Engineering, or relevant field.
- A minimum of 2-3 years' experience in a similar role (production environment preferred)
- Must have AWS experience. (Snowflake, Databricks, S3, Glue, RDS, Lambda desirable)
- Must have big data experience
- Must have coding experience (python preferred)
- Experience with building APIs (REST or SOAP)
- Familiarity of system concepts and tools within an enterprise architecture framework.
- Knowledge of various modern data formats, tools, and methodologies. (Informatics desirable)
- Knowledge of Clojure or Go (bonus)
- Ability to work in a fast paced, startup environment
- Excellent organizational and analytical abilities.
- Outstanding problem solver.
- Good written and verbal communication skills.
Benefits:
Health, Dental, Vision, 401k with match, Commuter benefits with Great Pay, plus Equity.