Growth Data Engineer

🕒 March 26

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Embedding VC

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

🤖 Artificial Intelligence

💸 Finance

Artificial Intelligence • Finance

Embedding VC is an early-stage venture capital firm based in Menlo Park, CA that backs engineering, product, and research-focused founders, with a particular emphasis on AI-driven startups. The firm maintains a curated portfolio of developer and data infrastructure companies and communicates via developer-forward channels (CLI-style website, newsletters, and LinkedIn). Embedding VC focuses on seed and early-stage investments in technology companies leveraging machine learning and AI.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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