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Marketing Engineer

Job in Carson, Los Angeles County, California, 90749, USA
Listing for: Dermalogica LLC
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Ecommerce, Digital Marketing, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 - 125000 USD Yearly USD 110000.00 125000.00 YEAR
Job Description & How to Apply Below

Current job opportunities are posted here as they become available.

Dermalogica is the world's leading professional skin health brand, trusted by skin therapists in over 80 countries. Backed by The International Dermal Institute, we are driven by a singular belief: skin health education changes lives. Our DTC ecommerce business is a core growth engine, and the team behind it operates at the intersection of data, technology, and consumer-first thinking.

THE OPPORTUNITY

We are looking for a Marketing Engineer to join our E-commerce team. In this role, you will serve as the connective tissue between our data sources, marketing platforms, and business outcomes. You will own the integrity and usability of marketing data across paid media, CRM, and on-site channels — ensuring our teams have clean, reliable, actionable data to drive decisions that directly influence ecommerce sales performance.

This is a hands‑on, technically oriented role suited for someone who understands both the engineering side of data pipelines and the commercial context of ecommerce marketing. You will work closely with growth, analytics, media, and CRM teams to build and maintain the data infrastructure that powers our marketing ecosystem.

KEY RESPONSIBILITIES Data Connections & Pipeline Integrity
  • Design, build, and maintain data pipelines that connect marketing platforms (paid media, CRM, on‑site analytics) to internal data warehouses and reporting tools
  • Ensure clean, reliable, and consistent data flows between sources including Meta, Google Ads, Tik Tok, Klaviyo, Shopify, and analytics platforms
  • Implement and manage API integrations and data connectors; identify and resolve data gaps, duplication, or quality issues proactively
  • Build and maintain data transformation logic to standardize naming conventions, event schemas, and attribution frameworks across platforms
Marketing Data Quality & Governance
  • Establish and enforce data quality standards for marketing event tracking, UTM structures, and audience segmentation
  • Audit and validate tracking implementation across paid channels and the ecommerce site; flag and fix inconsistencies before they impact reporting
  • Partner with analytics to ensure dashboards and attribution models are powered by accurate, trustworthy data
  • Maintain documentation of data sources, schemas, transformations, and known limitations — keeping the team informed and self‑sufficient
Tag Management & On‑Site Tracking
  • Own tag management (Google Tag Manager or equivalent) including implementation, QA, and ongoing governance of tracking tags across
  • Ensure pixel and event data (add to cart, purchase, product views, etc.) is firing accurately and feeding correctly into media platforms for bidding and measurement
  • Support the implementation of server‑side tracking solutions to improve data accuracy in a cookieless environment
Ecommerce & Channel Performance Context
  • Understand how paid media (search, social, display), CRM (email/SMS via Klaviyo), and on‑site behavior collectively influence ecommerce revenue
  • Collaborate with media, CRM, and web teams to translate business questions into data requirements — and data outputs into actionable insights
  • Support audience data activation, including first‑party audience builds, suppression lists, and lookalike seeds across ad platforms
  • Contribute to multi‑touch attribution analysis and incrementality measurement by ensuring the underlying data is sound
QUALIFICATIONS Required
  • 3–5 years of experience in a marketing engineering, marketing analytics engineering, or data engineering role — ideally within a DTC ecommerce environment
  • Hands‑on experience building and maintaining data pipelines and integrations between marketing platforms (Meta, Google, Tik Tok, Klaviyo, Shopify, GA4, etc.)
  • Proficiency in SQL for querying, transforming, and validating marketing data
  • Experience with tag management systems (Google Tag Manager strongly preferred); understanding of tracking event schemas and pixel implementation
  • Solid understanding of ecommerce KPIs — ROAS, CVR, AOV, LTV, attributed revenue — and how marketing channels interact to drive sales
  • Organized and detail‑oriented with strong documentation habits and a…
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