Responsibilities

• 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, TikTok, 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 dermalogica.com
• 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

Requirements

• 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, TikTok, 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 customization s 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

Nice to have

• Experience with Python for data manipulation, API calls, or pipeline scripting
• Familiarity with data warehouse or lake tools (BigQuery, 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)

Benefits

• wellness programs
• paid family leave
• domestic partner benefits
• education/training programs
• product allowances
• fitness reimbursement
• 401(k) matching
• and a host of other great perks.