Entry Level Data Engineer / Scientist

Skills
Computer ScienceData EngineeringAirflowAmazon RedshiftAutomationData AnalyticsData Pipelines
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • BS or MS in Computer Science, Data Science, Statistics or Mathematics.
  • Hands-on experience or projects with data science concepts and building statistical models.
  • Experienced in EDA using Python libraries or BI tools.
  • Skilled in SQL for complex data transformation and optimal performance on large data sets.
  • Knowledge of Data pipelines, parallel processing and ETL concepts.
  • Familiar with PaaS cloud services like AWS (e.g., S3, RDS, Redshift).
  • Passionate about healthcare economics and making an impact in this sector.

Nice to have

  • AWS
  • Python
  • SQL
  • Spark
  • ETL
  • BI Tools

Day to day

  • Build complex data transformations and statistical models using Python, SQL, SAS.
  • Perform EDA, scenario modeling, forecasting and simulations on large datasets.
  • Ingest, transform, clean and augment internal and external data assets.
  • Automate data pipelines to process patient-level and aggregated public health data.
  • Leverage an ever evolving range of cloud services, data science libraries and database platforms.
  • Continuously learn by investigating new technologies and mentor other team members.

Hiring process

  • Getting to Know You questions form (30 mins)
  • Take home Challenge coding & math problems (1-4 hours)
  • 2-3 skills & culture interviews (2.5 hours)
  • Paid micro project (4-8 hours)
  • Meet the Team Day (8 hours)
  • Offer