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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.
Job Responsibility:
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
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
Experience with ad tech, retail media, or large-scale data systems is strongly preferred
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 have:
Experience with ad tech, retail media, or large-scale data systems
What we offer:
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
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