Hopper

Ads Data Engineer - HTS Media Services

Hopper4 months ago
Location

Toronto - Remote

Workplace

Remote

Type

Full Time

Salary

CAD 120,000 – 180,000

Level

Senior

Role

Data Engineer

Posted

Nov 18, 2025

Full TimeRemoteSenior

The role

Summary

Hopper is seeking a foundational Data Engineer for their HTS Media Services division to build and maintain robust data infrastructure powering their advertising platform. The ideal candidate will design scalable data pipelines, create analytical data models, and lay the groundwork for future machine learning optimizations in the travel advertising ecosystem.

What you'll do

Data Architecture: Design, build, and maintain scalable and reliable ETL/ELT pipelines to process high-volume advertising data
Analytical Warehouse Management: Develop and manage the analytical data warehouse as the single source of truth for reporting and analytics
Data Modeling: Create clean, reliable, and performant data models to power advertiser reporting dashboards, internal analytics, and billing systems
Data Quality Assurance: Implement robust data quality checks, monitoring, and alerting to ensure data accuracy and trustworthiness
Cross-Functional Collaboration: Work closely with engineering and product teams to define data requirements and support new ad products and features
Future-Ready Infrastructure: Build foundational data systems to enable future machine learning-driven optimizations for audience targeting and performance prediction

What we look for

Technical

Programming LanguagesExpert-level proficiency in SQL and Python or Scala for data processing
Cloud Data WarehousingHands-on experience with cloud-based solutions like BigQuery, Snowflake, or Redshift
Data Pipeline ToolsProven experience with orchestration tools such as SQLMesh, Airflow, or dbt
Real-time Data TechnologiesExperience with streaming technologies like Google Pub/Sub, Kafka, or Kinesis

Education

Relevant DegreeBachelor's degree in Computer Science, Data Science, Engineering, or related technical field preferred

Experience

Data Engineering Experience4+ years of data engineering experience with a track record of building and maintaining data infrastructure at scale
Ad Tech or Large-Scale Data SystemsExperience in ad tech, retail media, or large-scale data systems is strongly preferred

Skills

Required skills

SQLAdvanced SQL skills for complex data manipulation and analysis
Data Pipeline DevelopmentAbility to design and implement scalable data extraction, transformation, and loading processes
Data ModelingStrong understanding of data modeling concepts and schema design for analytical workloads

Nice to have

Machine Learning InfrastructureExperience in preparing data infrastructure for machine learning model development
Advertising TechnologyFamiliarity with advertising technology ecosystems and data flows

Compensation & benefits

Salary

CAD 120,000 – 180,000 (annual)

Benefits

Group Insurance

100% premium coverage for group insurance plan

Disability Coverage

Life, short-term, and long-term disability coverage

Healthcare

HSA covering eligible medical and dental expenses

Telemedicine

Access to Dialogue's telemedicine services for employees and dependents

Retirement Planning

RRSP plan with automatic pre-tax withdrawals

Parental Leave

Generous parental leave policy exceeding industry standards

Time Off

Unlimited PTO

Travel Stipend

Carrot Cash travel stipend

Workspace Benefits

Flexible co-working space access and work-from-home stipend

Interview process

  1. 1
    Initial Screening — Phone or video call with recruiting team to discuss background and role fit
  2. 2
    Technical Assessment — Take-home data engineering challenge or technical interview evaluating SQL, data modeling, and pipeline design skills
  3. 3
    Hiring Manager Interview — In-depth discussion about experience, technical capabilities, and alignment with team goals
  4. 4
    Technical Team Interview — Collaborative session with potential teammates to assess technical expertise and cultural fit
  5. 5
    Final Interview — Comprehensive discussion with leadership about role expectations, career growth, and company vision
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Hopper

Hopper

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Hopper is a travel booking app and online marketplace, leveraging data-driven technology to predict prices and help users book hotels, flights, and car rentals at the best rates.

Montreal, QC, CanadaFounded 2006hopper.com

Tech Stack

Languages
PythonSQL
Frameworks
dbtAirflow
Databases
BigQuerySnowflake
Tools
Google Pub/SubKafka
Other
Machine Learning Optimization
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