Data Engineer
Loopio Inc. · Remote · Toronto, ON Hub · Vancouver, BC Hub ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (Canada/UK/India)
- Python + AWS + Databricks
- 3+ years experience required
- Home office budget provided
- Professional mastery allowance
Join Loopio’s Data Engineering Team to transform the RFP response process through robust data infrastructure. You will build and maintain scalable ETL pipelines, data warehouses, and feature stores that power both internal analytics and customer-facing platform features.
This position requires close collaboration with data scientists, architects, and product managers. You will integrate diverse data sources, including clickstream and unstructured data, to support predictive modeling and business insights across RevOps, Marketing, and CX teams.
What you'll do
- Build and scale data platforms and ETL pipelines for business growth and reliability
- Integrate clickstream, relational, and unstructured data sources into the Datalake
- Develop and maintain a feature store for analytics and machine learning modeling
- Partner with data scientists to create predictive models for product and internal teams
- Build advanced automation tooling for data orchestration, testing, and monitoring
- Support the data warehouse on Redshift and data lake on Databricks deltalake
- Promote data-driven decision making by providing data expertise to stakeholders
What you'll need
- Strong understanding of database concepts, SQL, and query optimization
- Proficiency in Python for data manipulation, or experience with Scala or Java
- Hands-on experience with AWS services such as RDS, S3, Redshift, and Glue
- Experience with ETL, data warehousing, and modeling techniques like Kimball or Inmon
- Knowledge of MPP frameworks such as Spark or Flink
- Experience with CI/CD tools like Jenkins and orchestration tools like Airflow
- 3+ years of experience in data engineering or a similar technical role
- Ability to work with ambiguity and demonstrate leadership within a team
Nice to have
- Experience with container orchestration using Docker, ECS, or Kubernetes
- Familiarity with Natural Language Processing techniques
- Experience with graph data engines like Neo4J or Neptune
- Background in AI-augmented software development life cycles
- Experience working with BI PaaS or SaaS solutions
Stack
- Python
- SQL
- AWS
- Databricks
- Redshift
- S3
- Spark
- Airflow
- Jenkins
- Docker
- Kubernetes
How you'll work
- Remote-first workplace with hubs in Canada, UK, and India
- Core sync hours with focus time for asynchronous collaboration
- Flexible co-working options available in Ontario and British Columbia
- Virtual collaboration across global teams via Zoom and Slack
What you get
- MacBook laptop and monthly phone and internet subsidy
- Work-from-home budget to set up your home office
- Health and wellness benefits starting from day one
- Professional mastery allowance for learning and development
- Regular 1-on-1s and feedback via Lattice
- Access to Employee Resource Groups for connection and learning