Staff Data Engineer

Prodege, LLC; El Segundo (CA); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, vision

PTO and paid holidays

Eight holidays per year

Job summary

Prodege seeks a Staff Data Engineer to own major portions of our data platform, building and operating production data systems that power analytics, experimentation, and AI-driven decisions across products and domains.

You will lead by example in design, review, and mentoring while collaborating with Engineering, Product, BI, Analytics, and ML teams to deliver scalable data solutions for a platform serving 120M+ users. This is a hands-on, high-impact role.

Qualifications

• 5–8+ years hands-on Data Engineering experience in large-scale environments.
• Strong expertise with SQL, Python, Snowflake, and dbt.
• Experience designing and operating production-grade batch, ELT, streaming pipelines.
• Experience with modern data architectures including Medallion, data modeling, and schema evolution.
• Experience owning significant technical domains within a larger data platform.

Responsibilities

• Design, build, and operate high-scale data pipelines and data platform components.
• Lead production-ready data platform components using Snowflake, dbt, Iceberg, Trino, Kafka, and modern data tech.
• Define and enforce governance, data quality, observability, and schema evolution standards.
• Partner with engineering, product, analytics, and ML teams to deliver trusted data solutions.
• Mentor engineers and contribute through design/review discussions.

Skills

SQL

Python

Snowflake

dbt

Tools

Iceberg

Trino

Kafka

Flink

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 servicesHigh‑scale batch, ELT, and near‑real‑time data pipelines powering BI, ML, experimentation, and product analyticsTrusted implementations of platform standards for governance, data quality, observability, and schema evolutionData foundations supporting machine learning, experimentation, and AI‑driven productsHands‑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 companyOwn meaningful technical domains from design through production—not just pipeline deliveryWork across consumer rewards, performance marketing, customer experience, AI, and multiple owned brandsHelp power a platform serving 120M+ registered users and $2B+ in lifetime rewardsBuild at real engineering scale with 400TB of data, 50M daily events, 500M daily records, 50+ Kafka topics, and 300K daily queriesInfluence engineering best practices while growing toward broader technical leadershipHelp 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 pipelinesBuild production‑ready data platform components using Snowflake, dbt, Iceberg, Trino, Kafka, and modern data technologiesDesign scalable data models supporting analytics, BI, experimentation, and machine learningImplement platform standards for Medallion architecture, data contracts, schema evolution, lineage, governance, and observabilityOptimize data systems for performance, reliability, scalability, and cost efficiencyPartner with Product, Engineering, BI, Analytics, and ML teams to deliver trusted data solutionsBuild data foundations supporting feature engineering, experimentation, model training, and AI‑powered applicationsLeverage AI‑assisted engineering to improve development velocity, testing, debugging, and documentationProvide 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.

Welcome to Prodege’s careers. We’re growing fast and building what’s next in consumer insights and digital marketing. Our success depends on hiring the most talented people, and we’re excited you’re exploring opportunities with us. As you browse roles, you’ll find work that makes a measurable impact, teammates who lift each other up, and room to grow your career. Thanks for considering a career with Prodege! We can’t wait to learn more about you. Prodege is powered by people who hustle with heart and grow through constant learning and innovation and guided every day by our five core values: Give Back, Respect, Own It, Innovate, and Teamwork. We’re humble, truthful, and thoughtful, putting teammates, consumers, clients, and the company first in every decision. We care deeply about our culture and even more about one another. The result: an energizing, forward‑looking workplace and a “Top Place to Work.”