Data Engineer II
Core
Design, develop, and maintain scalable data pipelines, transformations, and data models to convert complex data into trusted datasets for analytics, reporting, and operational insights.
Role type
Data Engineer II
Builds
Scalable data pipelines, ETL/ELT processes, data models, and enterprise analytics solutions
Domain
Data Engineering / Cloud Data Platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, PySpark, Spark SQL, data modeling, ETL/ELT pipeline development, CI/CD, automated testing, monitoring, data quality management, DevOps methodologies, distributed data processing technologies
Preferred skills
Experience with modern data engineering technologies, cloud-based data platforms, source control, metadata management, operational tooling
Technologies
Spark, Python, PySpark, Scala, data warehouses, cloud-based data platforms
Responsibilities
Design and implement data quality, monitoring, and reliability practices; partner with stakeholders to translate business requirements into technical solutions; support live-site operations by investigating data issues and implementing corrective actions; collaborate to share best practices and drive adoption of modern data engineering capabilities
Seniority
Mid-level, hands-on IC
