The Conqueror Challenges

🚀 About the Role

We're looking for a relentlessly curious Data Engineer to join our team as a Marketing Platform Specialist. This role is for someone who will dedicate themselves to extracting every possible byte of data from marketing platforms - the kind of person who gets excited about discovering hidden API endpoints and undocumented features.. You'll craft pristine, high-resolution datasets in Snowflake that fuel advanced analytics and machine learning across the business.

 

🎯 The Mission

Your singular focus: extract every drop of value from the world’s most powerful marketing platforms. Where others use 10% of a tool’s capabilities, you’ll uncover the hidden 90% — from granular auction insights to ephemeral algorithm data. You’ll build the intelligence layer that enables others to scale smarter, faster, and with precision.

 

🧪 What You’ll Actually Do

Platform Data Extraction & Monitoring

* Reverse-engineer APIs across Meta, Google, TikTok, and others to extract hidden attribution data, auction signals, and algorithmic behavior
* Exploit beta features and undocumented endpoints to unlock advanced data streams
* Capture ephemeral data before it disappears — attribution snapshots, pacing drift, algorithm shifts
* Build real-time monitoring datasets to detect anomalies, pacing issues, and creative decay
* Scrape competitor websites and dissect tracking logic to reveal platform strategies

 

Business Scaling & Optimization Datasets

* Build granular spend and performance datasets with dayparting, marginal ROAS, and cost efficiency metrics
* Develop lookalike audience models enriched with seed performance, overlap scores, and fatigue indicators
* Create auction intelligence datasets with hour/geo/placement granularity, bid behaviors, and overlap tracking
* Design optimization datasets for portfolio performance, campaign cannibalization, and creative lifecycle decay
* Extract machine learning signals from Meta Advantage+, Smart Bidding configs, and TikTok optimization logs
* Build competitive intelligence datasets with SOV trends, auction pressure, and creative benchmarks

 

Advanced Feature & AI Data Engineering

* Extract structured data from advanced features like predictive analytics, customer match, and A/B testing tools
* Build multimodal datasets (ad copy, landing pages, video) ready for machine learning workflows
* Enrich historical marketing data using automated pipelines and AI-powered data cleaning

 

Unified Customer & Attribution Data

* Build comprehensive GA4 datasets using precise tagging logic and event architecture
* Unify data from Firebase, Klaviyo, Tealium, and offline sources into full-funnel CDP datasets
* Engineer identity resolution pipelines using hashed emails, device IDs, and privacy-safe matching
* Map cross-device customer journeys with detailed attribution paths and timestamp precision

 

Snowflake Architecture & Analytics Enablement

* Design and maintain scalable, semantic-layered Snowflake datasets with historical tracking and versioning
* Use S3 and data lakes to manage large-scale, unstructured data across channels
* Implement architectures suited for exploration, BI, real-time streaming, and ML modeling — including star schema, medallion, and Data Vault patterns
* Build dashboards and tools that reveal inefficiencies, scaling triggers, and creative performance decay

 

🎓 Skills & Experience Required

* 3+ years as a Data Engineer with deep experience in MarTech or growth/performance marketing
* Advanced Python for API extraction, automation, and orchestration
* JavaScript proficiency for tracking and GTM customization
* Expert-level experience with GA4 implementation and data handling
* Hands-on experience with Snowflake, including performance tuning and scaling
* Comfortable working with S3 and data lakes for semi/unstructured data
* Strong SQL and understanding of scalable data models

 

🤞Bonus Points if You Have

* Experience with dbt for transformation and modeling
* CI/CD pipelines using GitHub Actions or similar
* Knowledge of vector databases (e.g., Pinecone, Weaviate) for AI/ML readiness
* Familiarity with GPU computing for high-performance data workflows
* Data app development using R Shiny or Streamlit

 

🚀 You'll Excel Here If You Are:

* Relentlessly curious: You don’t wait for someone to show you the API docs; you find the endpoints yourself
* Detail-obsessed: You notice the subtle changes, the disappearing fields, the data drift others overlook
* Self-directed: You don’t need micromanagement. Just give you the mission, and you’ll reverse-engineer the map
* Comfortable with ambiguity: You can navigate undocumented features, partial datasets, and platform quirks without panic
* Great communicator: You explain technical decisions clearly, with just enough detail for analysts, marketers, and fellow engineers to move forward
* Product-minded: You think in terms of impact, not just pipelines. Every dataset you build is a stepping stone to better strategy, smarter automation, or faster growth

 

🔥Why the Conqueror:

* ⭐️Shape the data infrastructure powering real business growth
* 💡Join a purpose-driven, fast-moving team
* 📈 Work with fast-scaling e-commerce brands
* 🧠Personal development budget to continuously sharpen your skills
* 🏠Work remotely from anywhere

 

💛 About us

We are a growing team of passionate, performance-driven individuals on a mission to be the best at growing multiple e-commerce businesses with great products.

For the past 7 years, we’ve gathered a powerful community of over 1 million people globally, empowering people to build and sustain healthy habits in an enjoyable way. Our digital and physical products, the Conqueror Challenges App and epic medals, have helped users walk, run, cycle, swim, and move through the virtual equivalents of iconic routes. We’ve partnered with Warner Bros., Disney, and others to launch global hits like THE LORD OF THE RINGS™, HARRY POTTER™, and STAR WARS™ virtual challenges.

Now, we’re stepping into an exciting new chapter! While continuing to grow our core business, we’re actively acquiring and building new e-commerce brands. We focus on using our marketing and operational strengths to scale these businesses, striving to always be outstanding in everything we do and delivering more value to more people.

Data

Marketing strategies

Machine learning

Algorithm

Data analytics

Amazon S3

Automation

Testing

Growth

Python

Firebase

JavaScript

E-commerce

Database

Continuous Integration

Performance marketing

Klaviyo

Project documentation

Infrastructure

Data Cleaning

Content management

User journey mapping

Community management

Data Engineering

Snowflake

Data Lake

CI/CD

GitHub Actions

R Shiny App

Streamlit

Orchestration

MarTech

Lead Data Engineer - Marketing Platforms Specialist