Ads Data Engineer - HTS Media Services

Hopper•Boston, MA

78d•Remote

About The Position

As the foundational Data Engineer for HTS Media, you will own the data infrastructure that powers our entire advertising business. Our platform generates a massive volume of data, from ad impressions and clicks to audience segments and conversion events, that is critical to our advertisers, partners, and internal teams. Your mission is to build a robust, scalable data foundation from the ground up that transforms this raw data into the trusted, high-quality datasets that power our advertiser-facing reporting and enable our future ML models. You will be responsible for the full lifecycle of data, from building real-time data pipelines to modeling data in our warehouse for analytics and reporting. You will partner closely with backend, full-stack, and product teams to power fast, accurate, and reliable reporting that will build advertiser trust. You will lay the groundwork for our ML optimization engine, which will drive ad-serving predictions (like CTR and conversion rates) to make our platform smarter and more performant—mirroring the successful data-driven ad platforms at companies like Amazon and Instacart. Your work will be the foundation of our platform's intelligence and a key factor in our ability to deliver measurable results.

Requirements

4+ years of data engineering experience, with a demonstrated track record of building and maintaining data infrastructure at scale.
Expert-level proficiency in SQL and a programming language like Python or Scala for data processing.
Hands-on experience with cloud-based data warehousing solutions (e.g., BigQuery, Snowflake, Redshift).
Proven success building and operationalizing data pipelines using orchestration tools (e.g., SQLMesh, Airflow, dbt).
Experience with real-time data streaming technologies (e.g., Google Pub/Sub, Kafka, Kinesis).
Strong understanding of data modeling concepts and experience designing schemas for analytical workloads.
Excellent communication skills and an ability to collaborate effectively with both technical and business stakeholders.
A strong sense of ownership and the ability to operate with a high degree of autonomy in a fast-paced, entrepreneurial culture.

Nice To Haves

Experience with ad tech, retail media, or large-scale data systems is strongly preferred.

Responsibilities

Own the Data Architecture: Design, build, and maintain scalable and reliable ETL/ELT pipelines to process high-volume advertising data.
Build the Foundation: Develop and manage our analytical data warehouse, establishing it as the single source of truth for all reporting and analytics.
Enable Insights: Create clean, reliable, and performant data models that power our advertiser reporting dashboards, internal analytics, and billing systems.
Ensure Data Integrity: Implement robust data quality checks, monitoring, and alerting to ensure the accuracy and trustworthiness of our data.
Collaborate and Empower: Work closely with the engineering and product teams to define data requirements and deliver the necessary data infrastructure to support new ad products and features.
Prepare for the Future: Build the foundational data systems that will enable future ML-driven optimizations for audience targeting and performance prediction.

Benefits

Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.
Unlimited PTO.
Carrot Cash travel stipend.
Access to co-working space on demand through FlexDesk AND Work-from-home stipend.
Please ask us about our very generous parental leave, much above industry standards!.
Entrepreneurial culture where pushing limits and taking risks is everyday business.
Open communication with management and company leadership.
Small, dynamic teams = massive impact. 100% employer paid Medical, Dental and Vision coverage for employees.
Access to Disability & Life insurance.
Health Reimbursement Account (HRA).
DCA/ FSA and access to 401k plan.