Job Title: Software Engineer, Data

Function: Data & Analytics

Position Type: Full Time

Position Level: Junior - Mid Level 

Total Compensation Target: $85,000 - $140,000
*Bonus Eligible
*401K Match

Base Salary: $70,000 - $120,000

Travel: Minimum travel may be required

At Vivian Health, we’re on a mission to transform hiring and recruiting in healthcare. We’re a high impact and positive impact business working to efficiently and cost effectively match the right talent to the right jobs in the healthcare sector, and as a result, help reduce healthcare costs and improve patient care.

We started by bringing transparency and increased access to the opaque and offline $17 billion temporary healthcare staffing industry, and we are now building the largest marketplace in the $1.5 trillion healthcare labor market that enables all healthcare professionals to find their perfect job opportunity, faster and easier than ever before.  We empower healthcare professionals across the country by giving them unprecedented access to honest, transparent, and real-time information to aid them in their job search. We connect candidates to the highest paying, most relevant healthcare jobs in the country and we help enable research around the best places to work.

Our goal is to empower healthcare professionals to find the best jobs that fits their needs and to help healthcare employers find great talent quickly and easily. Through the Vivian Health platform, we enable staffing agencies and healthcare employers to more easily find relevant talent, communicate more efficiently, and make better hiring decisions, ultimately enabling them to serve patients more safely and effectively.

The Role

Vivian Health is searching for a software engineer to join the data team. You'll work on our data pipelines and build APIs that serve data to our product. You'll own the full stack of our client-facing analytics and admin tool. You'll implement data pipelines with dbt, Airflow, DynamoDB, and AWS Lambda. You'll also contribute front-end code to our core product to help us quickly integrate our data into product experiences and build out telemetry to power our analytics decision-making and machine learning models.

Required Skill Set

• 2-5 years of experience in software engineering
• Experience with Python
• Experience with SQL
• Experience building and maintaining APIs

Nice to Haves

• Experience with cloud data warehouses (e.g. Snowflake, BigQuery, Redshift)
• Experience with DynamoDB, Lambda or Elastic Beanstalk
• Experience with infrastructure as code (e.g. CloudFormation, Terraform, etc.)
• Experience with Airflow
• Experience with dbt
• Experience with JavaScript and React
• Exposure to or interest in building streaming data pipelines
• Exposure to or interest in building machine learning models

Within one month, you’ll

• Have spun up our environments locally
• Have built a new data API resource, complete with unit testing and monitoring
• Have build a new dbt model 

Within three months, you'll

• Own a new core function in our admin tool, including the data model, pipeline, and API
• Have built out robust testing and monitoring for our data infrastructure
• Help to steer the architecture decisions and direction of the data engineering team

Within six months, you'll

• Contribute to tech stack decision-making around streaming data
• Have replaced one of our existing batch data pipelines with a streaming pipeline

Within a year, you'll

• Power near real time data to predictive models that provide a personalized experience for our users
• Have built a data platform to make ingesting new data sources and spinning up new API services a breeze

Vivian is proud to be an Equal Opportunity Employer. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.

We do not accept resumes from agencies, headhunters, or other suppliers who have not signed a formal agreement with us.