Data Engineer, Early Career - 2026 (CAN)

Role overview

Work arrangement

• Full-time work in the office Monday through Friday, up to 40 hours per week, typically between 8 a.m. and 5 p.m.
• Specific team working-hour norms will be communicated by the manager.

Key responsibilities

• Design and automate distributed systems for collecting and processing log events.
• Design data schemas and operate warehouses and SQL/NoSQL databases.
• Develop and maintain metrics, reports, analyses, and dashboards for business decisions.
• Monitor, troubleshoot, and resolve data pipeline and operational issues.
• Plan data storage, reporting, and analytics solutions, and build automated pipelines processing millions of data points.
• Tune database and warehouse queries for performance.
• Collaborate with analysts, data scientists, and internal partners to identify opportunities and problems.
• Research root causes and resolve defects.

Basic qualifications

• Currently has or is pursuing a bachelor’s degree or higher in Computer Science, Computer Engineering, or a related field.
• Experience with data mining and transformation, database/warehouse/lake solutions, data pipelines or automated ETL, and SQL.
• Experience with at least one scripting language, such as Python or KornShell.
• The role requires working Monday through Friday, up to 40 hours per week.

Preferred qualifications

• AWS experience and previous technical internship or demonstrated project experience are preferred.
• Knowledge of schema design, including normalization and relational versus dimensional models, is preferred.
• Experience with big-data processing such as Hadoop or Apache Spark, data warehouse architecture, ETL, and reporting or analytics environments is preferred.
• Ability to explain basic differences between data types, including JSON/NoSQL and relational data, is preferred.