Data Platform Engineer: Scale Pipelines & Reliability in Toronto

Data Platform Engineer: Scale Pipelines & Reliability in Toronto

Toronto Full-Time 123750 - 151250 $ / year (est.) On-site
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At a Glance

  • Tasks: Build and optimize data pipelines for seamless data flow into Snowflake.
  • Company: Join Shift4, a leader in payment processing and data solutions.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Be part of a dynamic team focused on innovation and efficiency.
  • Why this job: Make an impact by ensuring reliable data delivery in a fast-paced environment.
  • Qualifications: Experience with ECS, SQS, Python, and Terraform is a plus.

The predicted salary is between 123750 - 151250 $ per year.

Shift4 is seeking a Data Platform Engineer to build, maintain, and optimize data ingestion pipelines from production systems into Snowflake.

You will focus on pipeline performance, reliability, scalability, cost efficiency, and observability.

Experience with ECS, SQS, Python, and Terraform is highly valued.

The role centers on operating pipelines into Snowflake, defining SLOs, building alerting and dashboards, and ensuring data is delivered accurately and on time as the platform grows.

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Data Platform Engineer: Scale Pipelines & Reliability in Toronto employer: Shift4

At Shift4, we pride ourselves on being an exceptional employer that fosters a vibrant work culture and prioritizes employee well-being. Our Print Production Designer role offers ample opportunities for career growth and skill enhancement, complemented by wellness programs, flexible work schedules, and a supportive environment that celebrates achievements. Join us in our dynamic location where creativity meets innovation, and be part of a team that values your contributions and encourages professional development.

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Contact Details:

Shift4 Recruitment Team

We think you need these skills to ace Data Platform Engineer: Scale Pipelines & Reliability in Toronto

Data Ingestion Pipelines
Snowflake
Pipeline Performance Optimization
Reliability Engineering
Scalability
Cost Efficiency
Observability