Entry Level Data Engineer / Scientist
Skills
Computer ScienceData EngineeringAirflowAmazon RedshiftAutomationData AnalyticsData Pipelines
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
