Senior Data Engineer

Nomad Health is the first digital marketplace for healthcare jobs, efficiently connecting quality clinicians with rewarding career opportunities. Forbes recognized Nomad as one of the “Best Startup Employers”, Newsweek included Nomad on its "Most Loved Workplaces" list and Built In NYC named Nomad one of the “Best Mid-Sized Companies To Work For.” Our technology takes the busywork out of finding clinical work. We are a well-funded Series D startup backed by First Round Capital, RRE Ventures, .406 Ventures, Polaris Partners, Icon Ventures, Adams Street Partners, and Kevin Ryan (founder of MongoDB, Zola, Gilt, and DoubleClick).    The U.S. healthcare system is experiencing a staffing crisis. Employers spend $20 billion per year recruiting clinicians to care for the rapidly aging U.S. population. Nomad replaces antiquated staffing agencies with modern technology to efficiently source, qualify, and hire medical talent on demand. Clinicians find better jobs with higher pay. Employers fill roles faster with higher quality care.  Nomad is a fast growing team of technologists, creators, and industry experts passionate about modernizing healthcare staffing so clinicians can get back to the work they do best: caring for others.    

 

Position Summary

As a member of the newly formed Data Engineering team, you will focus on architecting, building, and maintaining data transformation pipelines to support downstream consumers like the Business Intelligence (BI) and Data Science (DS) teams. You will work especially close with the Business Intelligence team to ensure changes to the Nomad product suite do not affect the accuracy of data analytics and reporting dashboards.

Responsibilities/What You Will Do

Nomad has a strong data culture with growing Business Intelligence and Data Science teams. We are looking for a Data Engineer who is excited about working on high-impact projects that bring structure and organization to our BigQuery data store. Responsibilities for this role include:

• Collaborating with the BI and DS teams to discuss, clearly define, and document the data quality and structure requirements for each team.
• Designing and building data transformation pipelines that will supply high-quality, structured data for the BI and DS teams to consume.
• Collaborating with Product partners across the organization to define the data quality requirements and setting up systems to enforce those requirements for all data-producing products.
• Monitoring Nomad’s BigQuery resource consumption and designing long-term, scalable data engineering solutions.
• Keeping sensitive data compartmentalized and secure.
• Contributing to developing and documenting data engineering best practices at Nomad. 

Qualifications/ Skills - What You Will Need

• Competency - 
  • Python (OOP)
  • SQL
  • BigQuery
  • Deep understanding of data warehousing best practices (Dimensional Modeling)
  • ETL orchestration tools like Airflow or luigi
  • Data transformations with dbt
  • Cloud Services (AWS or GCP - Nomad uses GCP)
  • Git
• Required education and experience - 
  • Bachelor’s Degree in a technical field or equivalent work experience.
  • 3 + years experience supporting data analysis teams and building transformations pipelines for dimensional modeling.

We are committed to providing care and that starts with equipping Nomad employees with benefits focused on enhancing physical, financial, emotional, and social well-being. Our packages may include comprehensive health plans, 401k matching, equity, flexible PTO, sick leave, paid parental leave, a remote-first work environment with an annual stipend to kit out your home office, and more! Compensation for this role for a candidate based in Colorado is expected to be between $128,500 and $155,000, and for a candidate based in NYC to be between $151,500 and $182,500. Actual pay may be higher or lower depending on geographic locations, skills, experience, and other factors permitted by law.