Senior Data Engineer

Tubi

. Develop and maintain robust data processing pipelines supporting reporting, analytics, and performance insights .

Posted 9/28/2026full-timeToronto • CanadaSenior💰 CA$108,600 - CA$155,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining scalable data processing pipelines, with a strong focus on SQL, Spark, and Databricks. Capable of automating data processes and ensuring data quality while collaborating effectively across teams.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencySpark ExpertiseDatabricks ExperienceData Quality Monitoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSQLSparkPythonDBTDatabricksData ManipulationData ProcessingData Quality AssuranceCloud Storage

Soft Skills

Self-MotivationTask PrioritizationService Orientation

Tools & Technologies

DatabricksBrazeAirflowAWS

Certifications & Qualifications

BSc/MSc in Computer Science

Industry Keywords

Data AnalyticsData QualityData PipelinesCRMGrowth

Tech Stack

Tools & technologies

AirflowAWSCloudPandasPythonSparkSQL

About the role

Key responsibilities & impact

Develop and maintain robust data processing pipelines supporting reporting, analytics, and performance insights
Operate as an embedded data engineer within a data product vertical
Create and curate CRM and Growth pipelines, datasets, and scripts in Databricks using Braze
Build general pipelines and optimize SQL
Automate data-related processes
Contribute to the strategic direction of data engineering for the Growth organization
Own data needs from raw-data ingestion through end-user analysis
Build high-quality datasets using Spark and DBT
Investigate data quality issues and implement monitors and alerts
Participate in an occasional on-call rotation with 12-hour daytime shifts approximately 1–2 times per month
Document datasets and educate the team on table and field usage
Liaise between the product vertical and core data infrastructure team

Requirements

What you’ll need

BSc/MSc in Computer Science or related field
7+ years of industry experience, at least 5 of which are in a data engineering (or data-centric software engineering) role
Track record of building and operating scalable, flexible, and always-on data pipelines
Desire and ability to understand and serve business problems and use cases
Fluency in data manipulation and SQL
Strong knowledge of Spark and Python; pandas and polars helpful
Strong experience with Databricks, including SQL Warehouses, Jobs Clusters, and Serverless
Familiarity with DBT and Airflow
Experience building SMS, in-app, and email messaging pipelines at scale; Braze preferred
Experience with cloud providers and cloud storage; AWS preferred
Experience working efficiently with datasets at TB scale
Service and data-quality orientation
Passion for shipping production-quality code with good test coverage
Ability to prioritize tasks and self-motivate without constant supervision

Benefits

Comp & perks

Annual discretionary bonus
Long-term incentive plan
Medical, dental, and vision benefits
Insurance
Flexible Time Off Policy
Twelve (12) weeks of paid parental bonding leave (top up in Canada), in addition to applicable government leave programs and FOX’s short-term disability policy (if applicable)
Monthly wellness reimbursement