Growth Data Engineer

Role Responsibilities

• 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

Qualifications

• 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

PREFERRED

• 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

How to Join Jobright TNT

• If this is your first time applying to a Jobright TNT role, the process works as follows:
• Apply to your first Jobright TNT role
• We review your background to determine if you meet the TNT quality bar
• If qualified, your application is directly recommended to the employer
• Once accepted into TNT, you may be:
• - Invited to apply for other exclusive TNT-only roles
• - Invited to private, invite-only hiring events with top startups
• You will be notified of your TNT selection result.

PS: All Jobright TNT roles are 100% real, directly hired by top AI startups we partner with, and come with priority review and higher response rates than the normal application queue.