Prodege

Principal Data Engineer

Remote USA · Principal · Full-time

Sponsorship not specified$240k-$275kDetected 39 days ago

PythonSQLSnowflakeKafkaMachine LearningdbtData EngineeringData ScienceData VisualizationA/B TestingPerformance MarketingLeadershipMentoring

About the role

This is a deeply hands-on principal role.
Employees receive flexible PTO, as well as paid sick leave prorated based on hire date.
US Employees have eight paid holidays throughout the calendar year.

Lead the design, build, and evolution of the next-generation data platform across Snowflake, dbt, Iceberg, Trino, Kafka, and related technologies
Personally drive critical implementations in the data platform, modernizing legacy pipelines and proving out new approaches before scaling them across the team
Build and optimize high-scale batch, ELT, and near-real-time pipelines for BI, product, experimentation, and ML use cases
Design and evolve scalable data models and data marts that support business reporting, self-service analytics, and ML workloads
Partner closely with ML, BI, Product, Engineering, Analytics, and business stakeholders to turn business needs into scalable technical designs
Build data foundations that support model training, feature pipelines, experimentation, and AI-driven applications
Drive an AI-first mindset by using AI to accelerate development, debugging, design exploration, testing, and documentation
Proven experience designing and building modern data platforms at scale
Bolstered by a major investment by Blackstone in Q1 2026, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.
As an organization, we go the extra mile to "Create Rewarding Moments" every day for our partners, consumers, and team.

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
Strong experience with:
Proven experience modernizing complex, interconnected data systems with strong ownership
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

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

The architecture and evolution of the next-generation data platform / lakehouse
High-scale batch, ELT, and near-real-time data pipelines that power BI, experimentation, ML, and product systems
Trusted data foundations across Snowflake, dbt, Iceberg, Trino, streaming, event-driven systems, and similar modern data technologies
Platform patterns for Medallion architecture, data contracts, schema evolution, governance, and observability
The evolution of Data Engineering toward a more AI-first way of working
You will work across a complex ecosystem spanning owned brands, rewards, performance marketing, customer experience, and ML
You will help power a business serving 120M+ registered users that has delivered $2B+ in lifetime rewards

The anticipated base salary range for this position is $240,000 to $275,000.
The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to; the type and length of experience within the job, type and length of experience within the industry, the type and length of knowledge and skills for the position, education, training, etc.
Prodege is a multi-state employer and final compensation within this range could be impacted by work location.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

A cutting-edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption.
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.
Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of FCIHO.

This listing is sourced directly from Prodege's careers page and normalized into a canonical job model.