Master Data Engineer

We are seeking an exceptional Data Engineer to join our team. The ideal candidate will be a detail-obsessed, self-directed individual who is comfortable with ambiguity and can navigate undocumented features.

The Mission:

Our data engineer will focus on extracting every drop of value from marketing platforms, uncovering hidden 90% of tool capabilities, and building intelligence layers that enable others to scale smarter, faster, and with precision.

Key Responsibilities:

• 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

Required Skills and Qualifications:

• 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 Us?

• Shape the data infrastructure powering real business growth
• Join a purpose-driven, fast-moving team
• Work with fast-scaling e-commerce brands
• Work remotely from anywhere