Remote Senior Data Engineer: AWS, ETL & Data Lake Lead

Launch Potato; Vancouver; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading data-driven technology company seeks an experienced Data Engineer to lead initiatives that empower teams with actionable data. You will build scalable ETL processes and optimize data lake infrastructure while collaborating across functions. The ideal candidate will have over 5 years in data engineering, demonstrating expertise in Python, SQL, and AWS. This role offers opportunities for growth in a diverse and inclusive workplace.

Qualifications

• 5+ years of experience in data engineering within fast-paced, cloud-native environments.
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto).
• Experience building and managing scalable ETL pipelines and data lake infrastructure.

Responsibilities

• Lead scalable data engineering efforts supporting cross-functional teams with reliable data.
• Build and optimize scalable, efficient ETL and data lake processes.
• Partner closely with BI and Analytics to deliver clean datasets.

Skills

Data Engineering Mastery

Cross-Functional Collaboration

Proactive Ownership

Quality-Driven Execution

Strategic Thinking

Growth Mindset

Tools

Python

SQL

Docker

AWS

Spark

Job description

A leading data-driven technology company seeks an experienced Data Engineer to lead initiatives that empower teams with actionable data. You will build scalable ETL processes and optimize data lake infrastructure while collaborating across functions. The ideal candidate will have over 5 years in data engineering, demonstrating expertise in Python, SQL, and AWS. This role offers opportunities for growth in a diverse and inclusive workplace.