[Hiring] Principal Data Engineer @Prodege

Role Description

We are looking for a Principal Data Engineer to shape the future of data at Prodege. This is a high-impact role for someone who wants to own more than pipelines. You will help build the next-generation data platform that powers analytics, experimentation, machine learning, business intelligence, and revenue-driving decision-making across Prodege’s products and business domains.

In this role, you will own the data stack end to end — from platform architecture and data modeling, to pipeline delivery, governance, observability, and the business outcomes those systems enable. You will work across a complex ecosystem spanning owned and operated brands, performance marketing, rewards, customer experience, and machine learning, helping the company scale faster on a more trusted, modern, and AI-ready data foundation.

You will help build the next-generation data platform supporting a business serving 120M+ registered users that has delivered $2B+ in lifetime rewards, operating at real engineering scale with:

• 400TB total data footprint
• 100TB Iceberg lake and growing
• 50M raw events per day
• 500M records of daily pipeline throughput
• 50 Kafka topics and growing
• 300K queries per day across multiple engines

This is a deeply hands-on principal role. We are looking for someone who leads by building, shipping, and modernizing production data systems — not someone who stays only at the architecture or strategy layer. If you enjoy solving hard data problems, building durable platforms, and helping teams move faster with better foundations, this role is for you.

Qualifications

• 6+ years of hands-on experience in Data Engineering, ideally in AdTech, MarTech, Growth, consumer internet, or other high-scale / multi-product environments
• Strong hands-on expertise in SQL, Python, Snowflake, and dbt
• Proven experience designing and building modern data platforms at scale
• Strong experience with batch and near-real-time data pipelines
• Experience with streaming / event-driven architectures
• Modern data modeling and ELT patterns
• Medallion architecture
• Data contracts and schema evolution
• Proven experience modernizing complex, interconnected data systems with strong ownership
• Experience building production-grade data systems that support BI, experimentation, product analytics, and ML use cases
• Strong judgment across performance, scalability, reliability, and cost tradeoffs
• Experience partnering cross-functionally with Data Science, BI, Product, Engineering, and business teams
• Ability to guide teams toward an AI-first way of working, while maintaining strong validation and engineering discipline
• Strong technical leadership and mentoring capability, with the ability to influence across teams without direct authority
• Comfort operating in ambiguity and still driving systems into production

Requirements

• Experience with Iceberg, Trino, Kafka, Kinesis, Apache Flink, or similar modern lakehouse / streaming technologies
• Familiarity with feature stores, model-serving pipelines, and DataOps practices
• Experience supporting experimentation platforms, self-serve BI, or performance marketing use cases
• Experience in consumer rewards, surveys, monetization, or marketplace-style ecosystems
• Experience with cloud-native data stacks and modern observability tooling
• Familiarity with AI-assisted or AI-first development practices across data teams

Benefits

• Comprehensive benefits package including medical, dental, vision, STD, LTD, and basic life insurance
• Flexible PTO and paid sick leave prorated based on hire date
• Eight paid holidays throughout the calendar year

Company Description

At Prodege, we are committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply.