Lead Data Engineer

???? About the RoleWe'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 MissionYour 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 DoPlatform Data Extraction & MonitoringReverse-engineer APIs across Meta, Google, Tik Tok, and others to extract hidden attribution data, auction signals, and algorithmic behaviorExploit beta features and undocumented endpoints to unlock advanced data streamsCapture ephemeral data before it disappears — attribution snapshots, pacing drift, algorithm shiftsBuild real-time monitoring datasets to detect anomalies, pacing issues, and creative decayScrape competitor websites and dissect tracking logic to reveal platform strategiesBusiness Scaling & Optimization DatasetsBuild granular spend and performance datasets with dayparting, marginal ROAS, and cost efficiency metricsDevelop lookalike audience models enriched with seed performance, overlap scores, and fatigue indicatorsCreate auction intelligence datasets with hour/geo/placement granularity, bid behaviors, and overlap trackingDesign optimization datasets for portfolio performance, campaign cannibalization, and creative lifecycle decayExtract machine learning signals from Meta Advantage+, Smart Bidding configs, and Tik Tok optimization logsBuild competitive intelligence datasets with SOV trends, auction pressure, and creative benchmarksAdvanced Feature & AI Data EngineeringExtract structured data from advanced features like predictive analytics, customer match, and A/B testing toolsBuild multimodal datasets (ad copy, landing pages, video) ready for machine learning workflowsEnrich historical marketing data using automated pipelines and AI-powered data cleaningUnified Customer & Attribution DataBuild comprehensive GA4 datasets using precise tagging logic and event architectureUnify data from Firebase, Klaviyo, Tealium, and offline sources into full-funnel CDP datasetsEngineer identity resolution pipelines using hashed emails, device IDs, and privacy-safe matchingMap cross-device customer journeys with detailed attribution paths and timestamp precisionSnowflake Architecture & Analytics EnablementDesign and maintain scalable, semantic-layered Snowflake datasets with historical tracking and versioningUse S3 and data lakes to manage large-scale, unstructured data across channelsImplement architectures suited for exploration, BI, real-time streaming, and ML modeling — including star schema, medallion, and Data Vault patternsBuild dashboards and tools that reveal inefficiencies, scaling triggers, and creative performance decay???? Skills & Experience Required3+ years as a Data Engineer with deep experience in Mar Tech or growth/performance marketingAdvanced Python for API extraction, automation, and orchestrationJava Script proficiency for tracking and GTM customizationExpert-level experience with GA4 implementation and data handlingHands-on experience with Snowflake, including performance tuning and scalingComfortable working with S3 and data lakes for semi/unstructured dataStrong SQL and understanding of scalable data models????Bonus Points if You HaveExperience with dbt for transformation and modelingCI/CD pipelines using Git Hub Actions or similarKnowledge of vector databases (e.g., Pinecone, Weaviate) for AI/ML readinessFamiliarity with GPU computing for high-performance data workflowsData 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 yourselfDetail-obsessed: You notice the subtle changes, the disappearing fields, the data drift others overlookSelf-directed: You don't need micromanagement.
Just give you the mission, and you'll reverse-engineer the mapComfortable with ambiguity: You can navigate undocumented features, partial datasets, and platform quirks without panicGreat communicator: You explain technical decisions clearly, with just enough detail for analysts, marketers, and fellow engineers to move forwardProduct-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 usWe 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.

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