Data Engineer

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.