Expected compensation: 85.00 USD Per Hour
HireArt is helping our client find an experienced Data Engineer to play a key role in building and maintaining scalable data infrastructure.
In this role, you’ll design and manage data transport, collection, and storage systems while delivering services that treat data as a first-class product.
The ideal candidate is a collaborative problem-solver with strong technical expertise who thrives on building reliable, scalable data solutions that drive business impact.
As a Data Engineer, You Will
Own and optimize core data pipelines to ensure resilience, performance, data quality, and seamless feature onboarding.
Evolve data models and schemas to meet changing business and engineering needs.
Implement monitoring systems to improve data quality and consistency.
Develop self-service tools for data pipeline (ETL) management and optimize SQL queries.
Contribute to the technical roadmap, aligning projects with team and stakeholder goals.
Write clean, scalable, and cost-efficient code; conduct code reviews to maintain standards.
Support high availability and reliability by participating in on-call rotations.
Collaborate with internal and external teams to resolve blockers and deliver results.
Requirements
3+ years of professional experience in data engineering (6–8 years preferred)
Proven ability to collaborate with cross-functional stakeholders (analytics, science, product, engineering)
Skilled in designing complex data models and resilient pipelines
Proficiency in SQL with ability to implement complex business logic
Strong knowledge of MPP systems and ETL using Spark or similar technologies
Proficient in Python, Java, or similar languages for data transformation scripting
Hands-on experience with workflow management tools (e.g., Airflow, Flyte, etc.)
Experience in data validation, visualization, and communicating insights effectively
Commitment:
This is a full-time, 3-month contract position staffed via HireArt. This position will be hybrid and available to candidates local to the Toronto, Canada, area.