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Prodege, LLC

Staff Data Engineer

United States

The anticipated base salary range for this position is $190,000 to $230,000.

Apply on prodege.wd108.myworkdayjobs.com About employer

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Job details

Pay: The anticipated base salary range for this position is $190,000 to $230,000.
Experience: 5–8+ years of hands-on Data Engineering experience, ideally in AdTech, MarTech, consumer internet, marketplaces, growth, or other large-scale data environments
Posting language: English
Posted: Nov 11, 2026

Original job description

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.

Apply on prodege.wd108.myworkdayjobs.com About employer

More about this job

Skills

Machine learning
Business intelligence
Decision making
Leadership
Apache Kafka
Data models
Data engineering
ML
Coaching
Customer experience
Snowflake
dbt
Debugging
Documentation
SQL
Python
Data modelling
Google Analytics
Communication skills
Apache Spark
Software development tools

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Work requirements

Jobs in the United States