Hopper

Ads Data Engineer - HTS Media Services

Hopper4 months ago
Location

Boston - Remote

Workplace

Remote

Type

Full Time

Salary

USD 130,000 – 180,000

Level

Senior

Role

Data Engineer

Posted

Nov 18, 2025

Full TimeRemoteSenior

The role

Summary

Hopper is seeking a foundational Data Engineer for its HTS Media Services division to build and maintain robust data infrastructure powering the company's advertising platform. The ideal candidate will design scalable data pipelines, create analytical data models, and establish a comprehensive data foundation that supports reporting, analytics, and future machine learning initiatives.

What you'll do

Data Architecture: Design, build, and maintain scalable and reliable ETL/ELT pipelines to process high-volume advertising data with optimal performance and reliability.
Analytical Warehouse Management: Develop and manage the analytical data warehouse, establishing a single source of truth for comprehensive reporting and analytics across the advertising platform.
Data Modeling: Create clean, performant data models that power advertiser reporting dashboards, internal analytics, and billing systems with high accuracy and efficiency.
Data Quality Assurance: Implement robust data quality checks, monitoring, and alerting systems to ensure data accuracy, integrity, and trustworthiness.
Cross-Functional Collaboration: Work closely with engineering and product teams to define data requirements and deliver infrastructure supporting new ad products and feature development.
Future-Ready Systems: Build foundational data systems that will enable future machine learning-driven optimizations for audience targeting and performance prediction.

What we look for

Technical

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

Education

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

Experience

Data Engineering4+ years of data engineering experience with a proven track record of building and maintaining large-scale data infrastructure
Data ModelingStrong understanding of data modeling concepts and experience designing schemas for analytical workloads
Ad Tech PreferencePrevious experience with ad tech, retail media, or large-scale data systems is strongly preferred

Skills

Required skills

SQLAdvanced SQL skills for complex data querying and transformation
Data Pipeline DevelopmentAbility to design and implement scalable data extraction, transformation, and loading processes
Cloud TechnologiesProficiency in cloud data warehousing and processing technologies

Nice to have

Machine Learning InfrastructureExperience in building data foundations for machine learning model development
Advertising TechnologyFamiliarity with ad tech platforms and data ecosystems

Compensation & benefits

Salary

USD 130,000 – 180,000 (annual)

Stock options

Available

Benefits

Unlimited PTO

Flexible paid time off policy allowing employees to take time as needed

Travel Stipend

Carrot Cash travel stipend provided to employees

Flexible Workspace

Access to co-working spaces and work-from-home stipend

Healthcare Coverage

100% employer-paid Medical, Dental, and Vision insurance

Parental Leave

Generous parental leave policy exceeding industry standards

Insurance Benefits

Access to Disability and Life insurance

Retirement Planning

401k plan with potential employer matching

Interview process

  1. 1
    Initial Screening — Initial resume review and phone screen with recruiter
  2. 2
    Technical Assessment — Data engineering skills assessment and technical challenge
  3. 3
    Hiring Manager Interview — In-depth discussion of experience, technical skills, and role fit
  4. 4
    Team Interview — Technical interviews with potential team members and cross-functional stakeholders
  5. 5
    Final Interview — Final discussion with senior leadership and cultural fit assessment
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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
SQLMesh
Databases
BigQuerySnowflake
Tools
AirflowdbtKafka
Other
Google Pub/Sub
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