Senior Data Engineer — ETL, Data Lake & Growth (Remote)

Launch Potato; Toronto; Hybrid; CAD 60,000 - 80,000; Full time

Job summary

A data-driven tech company in Toronto is seeking a Data Engineer to lead scalable data engineering efforts and build efficient ETL and data lake processes. You'll empower cross-functional teams with reliable data to fuel strategic growth, ensuring data integrity and driving the adoption of analytics tools. Ideal candidates have over 5 years of experience with AWS, Python, and SQL, along with a strong ability to collaborate and proactively own projects. This role champions a culture of quality-first engineering while working remotely within a diverse team.

Qualifications

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

Responsibilities

• Lead scalable data engineering efforts that empower cross-functional teams with actionable data.
• Own the ingestion, modeling, and transformation of structured and unstructured data.
• Drive adoption and advancement of Looker dashboards.

Skills

Python

SQL

Docker

AWS

Cross-functional collaboration

Tools

AWS (S3, Glue, Kinesis, Athena/Presto)

Spark

Job description

A data-driven tech company in Toronto is seeking a Data Engineer to lead scalable data engineering efforts and build efficient ETL and data lake processes. You'll empower cross-functional teams with reliable data to fuel strategic growth, ensuring data integrity and driving the adoption of analytics tools. Ideal candidates have over 5 years of experience with AWS, Python, and SQL, along with a strong ability to collaborate and proactively own projects. This role champions a culture of quality-first engineering while working remotely within a diverse team.