Growth Data Engineer

🕒 Março 26

🏄 California – Remoto

🏄 California – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Embedding VC

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2023

🤖 Inteligência Artificial

💸 Finanças

Artificial Intelligence • Finance

A Embedding VC é uma firma de capital de risco em estágio inicial localizada em Menlo Park, CA, que apoia fundadores com foco em engenharia, produto e pesquisa, com ênfase particular em startups impulsionadas por IA. A firma mantém um portfólio selecionado de empresas de infraestrutura de dados e desenvolvedores, comunicando-se por meio de canais voltados para desenvolvedores (site estilo CLI, newsletters e LinkedIn). A Embedding VC foca em investimentos seed e em estágios iniciais em empresas de tecnologia que utilizam machine learning e IA.

Descrição

• Build and maintain marketing attribution systems (UTM tracking, user journey, conversion mapping) • Implement and manage 1st-party data passback to ad platforms (e.g., conversions, revenue, LTV signals) • Configure and maintain tracking infrastructure: • - GTM (client + server-side) • - Google Ads (Enhanced Conversions) • - Meta Pixel + Conversions API • - LinkedIn, TikTok, and other ad platforms • Set up and maintain conversion events and schemas across platforms • Ensure consistent event definitions and naming across product, CRM, and ad platforms • Build and manage audience sync pipelines • Integrate CRM and warehouse data into ad platforms for optimization (offline conversions, lead stages, revenue) • Operationalize new marketing experiments (UTMs, tracking parameters, campaign setup) • Debug and resolve tracking and attribution discrepancies across systems (e.g., Ads vs CRM vs warehouse) • Build and validate marketing and pipeline dashboards, ensuring data accuracy and consistency • Implement privacy-safe tracking practices (Consent Mode, CMP integrations) • Partner closely with growth, product, and data teams to ensure measurement supports decision-making

🎯 Requisitos

• 3–5 years of experience in growth data, marketing data engineering, or analytics engineering • Strong hands-on experience with: • - GTM, pixels, conversion APIs • - Ad platforms (Google Ads, Meta, etc.) • Experience implementing conversion tracking and attribution systems • Experience sending offline conversions / LTV signals back to ad platforms • Familiarity with data pipelines and warehouse concepts (BigQuery, SQL, ETL/ELT) • Strong SQL skills; comfortable working with data directly • Strong debugging skills — able to systematically investigate and resolve data discrepancies • Comfortable working cross-functionally with marketing, product, and data teams • High ownership, fast execution, and strong attention to detail • Nice to Have • - Experience supporting performance marketing teams • - Familiarity with attribution models (last-click, MTA, probabilistic vs deterministic) • - Privacy frameworks (SKAN, ATT, Privacy Sandbox) • - Experience with mobile attribution tools (AppsFlyer, Adjust, Branch) • - Experience with experimentation and A/B testing frameworks • - Experience in consumer product, marketplaces, or e-commerce • - Basic Python or scripting for automation

🏖️ Benefícios

• Competitive base salary and bonus program • Equity — meaningful ownership in what you build • High autonomy, high growth environment