Data Engineer II
Core
Design, develop, and optimize ETL pipelines and data architecture to prepare data for data science and analytics teams.
Role type
Mid-level IC data engineer
Builds
ETL pipelines, data architecture, and microservice systems
Domain
Cloud data engineering (AWS/Azure)
Deliverable
production ML models | infrastructure
Required skills
SQL, NoSQL, Python, Ruby, data warehousing, data lakehouse architecture, structured/unstructured data handling
Preferred skills
AWS Sagemaker/Lambda/Redshift, Agile/Scrum, data visualization tools, Git
Technologies
AWS, Azure, SQL, NoSQL, Python, Ruby, Git, Tableau, PowerBI, DOMO, Jira
Responsibilities
Guide design and development of ETL pipelines; collaborate with data science teams on data preparation; build and optimize data architecture; enhance data quality through validation; spearhead development of microservice systems
Seniority
Mid-level, hands-on IC