Analytics Engineer
Core
Develop, construct, test, and maintain data architectures, pipelines, and warehouses to ensure efficient data collection, storage, and processing for analytical tasks.
Role type
Junior to Mid-level Data Engineer
Builds
Data pipelines, ETL processes, data warehouses, and analytic data sets
Domain
Healthcare / Life Sciences / Data Infrastructure
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, R, SAS, data cleaning, data preprocessing, database management, data structures, software engineering basics
Preferred skills
Life sciences or healthcare domain knowledge, statistical modeling, big data storage systems
Technologies
SQL, SAS, R, Python, relational databases, flat files
Responsibilities
Assist in deployment and monitoring of data pipelines; support data quality initiatives through testing and validation; build basic analytic data sets; implement data security measures and compliance; document data processes; assist in data collection and cleansing; understand business needs for analytical requirements; conduct data acquisition from databases and files; wrangle low-complexity data using parsing or algorithms.
Seniority
Junior, individual contributor with guidance