Job Description:
Strategic Imperative We are looking for a Staff Data Engineer to help build the future of data at Prodege. This is a high-impact, hands-on role for someone who wants to own major pieces of our modern data platform - not just pipelines. You'll design, build, and operate production data systems that power analytics, experimentation, machine learning, business intelligence, and AI-driven decision making across Prodege's products and business domains. Working within the architecture and engineering standards established by Principal and leadership-level engineers, you'll own significant technical domains spanning data ingestion, modeling, streaming, governance, and platform reliability. You'll partner closely with Engineering, Product, BI, Analytics, and Machine Learning teams to deliver trusted, scalable data solutions that accelerate innovation across the business. You'll help build and extend the platform supporting a business serving 120M+ registered users that has delivered $2B+ in lifetime rewards, operating at real engineering scale with a 400TB data footprint, 100TB Iceberg lake and growing, 50M events per day, 500M daily pipeline records, 50+ Kafka topics, and 300K queries per day. This is a deeply hands-on Staff role. We're looking for an engineer who leads by building production systems, demonstrates strong technical judgment, influences design decisions, and raises the engineering bar through execution. What You'll Own
- Major domains of the data platform, including pipelines, data models, and platform services
- High-scale batch, ELT, and near-real-time data pipelines powering BI, ML, experimentation, and product analytics
- Trusted implementations of platform standards for governance, data quality, observability, and schema evolution
- Data foundations supporting machine learning, experimentation, and AI-driven products
- Hands-on technical leadership through code contributions, design reviews, and mentoring
What Makes This Role Exciting
- Build core data platform capabilities that power analytics, BI, experimentation, and machine learning across the company
- Own meaningful technical domains from design through production - not just pipeline delivery
- Work across consumer rewards, performance marketing, customer experience, AI, and multiple owned brands
- Help power a platform serving 120M+ registered users and $2B+ in lifetime rewards
- Build at real engineering scale with 400TB of data, 50M daily events, 500M daily records, 50+ Kafka topics, and 300K daily queries
- Influence engineering best practices while growing toward broader technical leadership
- Help drive Prodege's transition to AI-first software engineering
What You'll Do
- Design, build, and operate high-scale batch, ELT, streaming, and near-real-time data pipelines
- Build production-ready data platform components using Snowflake, dbt, Iceberg, Trino, Kafka, and modern data technologies
- Design scalable data models supporting analytics, BI, experimentation, and machine learning
- Implement platform standards for Medallion architecture, data contracts, schema evolution, lineage, governance, and observability
- Optimize data systems for performance, reliability, scalability, and cost efficiency
- Partner with Product, Engineering, BI, Analytics, and ML teams to deliver trusted data solutions
- Build data foundations supporting feature engineering, experimentation, model training, and AI-powered applications
- Leverage AI-assisted engineering to improve development velocity, testing, debugging, and documentation
- Provide technical guidance through design reviews, code reviews, and mentoring across the engineering team
Must Have
- 5–8+ years of hands-on Data Engineering experience, ideally in AdTech, MarTech, consumer internet, marketplaces, growth, or other large-scale data environments
- Strong expertise with SQL, Python, Snowflake, and dbt
- Experience designing and operating production-grade batch, ELT, streaming, and near-real-time data pipelines
- Experience with modern data architectures, including:
- Medallion architecture
- Data modeling and ELT
- Streaming/event-driven systems
- Data contracts and schema evolution
- Experience owning significant technical domains within a larger data platform
- Experience building reliable data systems supporting BI, experimentation, analytics, and machine learning
- Strong understanding of scalability, performance, reliability, observability, and cost optimization
- Experience partnering with Engineering, Product, Analytics, BI, and Data Science teams
- Comfortable working in an AI-first engineering environment while maintaining strong engineering discipline
- Strong communication skills with the ability to influence technical decisions through design discussions and code reviews
Nice to Have
- Experience with Iceberg, Trino, Kafka, Flink, Kinesis, Spark, or similar lakehouse and streaming technologies
- Experience supporting ML feature pipelines, feature stores, or model training infrastructure
- Experience building experimentation platforms or self-service analytics capabilities
- Experience with modern DataOps, orchestration, and observability tooling
- Experience in consumer internet, rewards, marketplaces, advertising technology, or monetization platforms
- Experience leveraging AI-assisted software development tools to improve engineering productivity
The anticipated base salary range for this position is $190,000 to $230,000. 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 Benefits:
Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance. 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.
Equal Employment Opportunity Statement 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.
FCIHO Employers will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of FCIHO.
