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Marketing Engineer
Job in
Carson, Los Angeles County, California, 90746, USA
Listed on 2026-06-12
Listing for:
Dermalogica
Full Time
position Listed on 2026-06-12
Job specializations:
-
IT/Tech
Data Analyst, Ecommerce
Job Description & How to Apply Below
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
- 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
- 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
- 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
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
- Working knowledge of JavaScript for tag-related customizations and data layer management
- Solid understanding of ecommerce KPIs - ROAS, CVR, AOV, LTV, attributed revenue - and how marketing channels interact to drive sales
- Familiarity with first-party data practices, cookie limitations, and the shift toward privacy-safe tracking methods
- Organized and detail-oriented with strong documentation habits and a proactive approach to data quality issues
- Experience with Python for data manipulation, API calls, or pipeline scripting
- Familiarity with data warehouse or lake tools (Big Query, Snowflake, dbt, or similar)
- Exposure to CDP platforms (Segment, Tealium, or equivalent)
- Experience with Klaviyo data structures, event flows, and list/segment integrations
- Background in beauty, wellness, or consumer goods ecommerce
- Experience implementing server-side tagging or Conversions API (Meta CAPI, Google Enhanced Conversions)
- Marketing data is clean, consistent, and trusted - teams make decisions with confidence, not caveats
- Data pipelines run reliably;…
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