Data Engineer: Build Scalable Pipelines & Analytics (Remote)

Apply; Toronto; Hybrid; CAD 110,000 - 170,000; Full time

Benefits offered by this job

Remote-first

MacBook provided

Home office budget

Wellness benefits

Job summary

Loopio is seeking an experienced Data Engineer to build and support data pipelines for analytics and Loopio platform integration.

You’ll collaborate with ML engineers, architects, data scientists, and product managers to enable data-driven decision-making and scalable data platforms across cloud services like Databricks and AWS.

The role emphasizes data warehousing, ETL development, and supportive work culture in a remote-first environment.

Qualifications

• Strong understanding of database concepts, modeling, SQL, query optimization
• Ability to translate data into actionable business results
• Experience in Python (preferred) or Java/Scala for data manipulation
• Hands-on with AWS services: RDS, S3, Redshift, Glue, Quicksight, Athena, ECS
• Relational DBs (RDS/Aurora) and NoSQL engines (Redis/DynamoDB/Neptune)

Responsibilities

• Build, evolve, and scale data platforms and ETL pipelines
• Promote data-driven decision making across the organization
• Develop automation tooling for data orchestration, evaluation, testing, monitoring, administration
• Integrate data sources into the Datalake (clickstream, relational, unstructured)
• Develop and maintain a feature store for analytics and modeling
• Partner with data scientists to create predictive models
• Work with stakeholders to understand data needs and enable data-driven decisions
• Build data pipelines using Databricks and AWS (Redshift, S3, RDS)
• Support Loopio’s data warehouse (Redshift) and data lake (Databricks Delta Lake)
• Orchestrate pipelines using workflow frameworks/tools

Skills

SQL

Python

AWS

Databricks

ETL pipelines

Data warehousing

Spark

Airflow

CI/CD

Tools

Redshift

S3

Glue

Quicksight

Jenkins

Kubernetes

Airflow

Job description

Loopio is seeking an experienced Data Engineer to build and support data pipelines for analytics and Loopio platform integration.

You’ll collaborate with ML engineers, architects, data scientists, and product managers to enable data-driven decision-making and scalable data platforms across cloud services like Databricks and AWS.

The role emphasizes data warehousing, ETL development, and supportive work culture in a remote-first environment.