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MCS Analytics
Senior Data EngineerMCS Analytics • Toronto, Canada, United States
Senior Data Engineer

Senior Data Engineer

MCS Analytics • Toronto, Canada, United States
Il y a 7 heures
Salaire
100 000,00 $CA – 140 000,00 $CA par an
Type de contrat
  • Temps plein
  • Permanent
Description de poste

Salary: $100,000 - 140,000 per year

Requirements:

  • 5+ years of experience in data engineering.
  • Strong practical experience with BigQuery, including performance tuning and cost optimization.
  • Proven track record of building data pipelines.
  • Expertise in Python.
  • Experience working with SQL at scale and designing data models for analytics.
  • Solid understanding of streaming systems such as Pub/Sub.
  • Experience with CI/CD and infrastructure as code.
  • Strong problem-solving ability and comfort working in a collaborative environment.
  • Experience with real-time data processing and event-driven architectures is preferred.
  • Familiarity with Cloud Composer (Airflow) for orchestration is preferred.
  • Knowledge of data governance, lineage, and metadata tools is preferred.
  • GCP Professional Data Engineer certification is preferred.
  • 3+ years of Python experience.
  • Ability to reliably commute to or relocate before starting work in Toronto, ON.

Responsibilities:

  • Design, develop, and support scalable data pipelines using GCP services and Databricks, with a strong emphasis on BigQuery.
  • Build and optimize batch and streaming pipelines using Python.
  • Model, tune, and manage large-scale datasets in BigQuery for performance, cost efficiency, and reliability.
  • Implement data ingestion from APIs, databases, event streams, and files.
  • Strengthen data quality, observability, and reliability through monitoring, alerting, and testing.
  • Partner with data scientists, analysts, and product teams to support analytics and machine learning use cases.
  • Lead architecture discussions and contribute to the long-term data platform strategy.
  • Mentor junior engineers and champion engineering best practices.
  • Enforce data governance, security, and compliance standards.

Technologies:

  • Airflow
  • BigQuery
  • CI/CD
  • Cloud
  • Composer
  • Databricks
  • GCP
  • Support
  • Machine Learning
  • Python
  • SQL
  • Security

More:

We are a hybrid team based in Toronto, ON, offering a full-time, permanent Senior Data Engineer role at an annual salary of $100,000 to $140,000. We provide paid time off and work closely with data scientists, analytics teams, and business stakeholders to deliver reliable, high-performance data solutions that support critical decision-making. The role is highly technical and leadership-focused, with opportunities to influence architecture, platform strategy, and team development.

last updated 38 week of 2026

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Senior Data Engineer • Toronto, Canada, United States

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