Paired
BeautyTech
DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer at Paired. Skills: Data Engineering, SQL, Data Modeling, Python, BigQuery, dbt, Airflow, BI tools. Take ownership of the company’s data stack. Build and maintain real-time reporting pipelines for marketing spend and campaign performance”
What You'll Achieve.
improve reporting accuracy and business visibility; support data-driven marketing decisions; improve reporting workflows and operational efficiency
Industry & Context.
What They're Looking For.
Must Have
6+ years of experience in data engineering, SQL, data modeling skills, Proficiency in Python for automation and data processing, Excellent communication skills in English
Nice to Have
experience within ecommerce or DTC environments, Experience with Kubernetes and Docker, Experience with GCP or broader cloud infrastructure environments, Experience supporting attribution, ecommerce analytics, or growth marketing teams
What You'll Do.
Take ownership of the company’s data stack
Build and maintain real-time reporting pipelines for marketing spend and campaign performance
Implement and manage tracking pixels
server-to-server (S2S) integrations
and event tracking systems
Design and improve attribution models to support data-driven marketing decisions
Develop automation solutions to improve reporting workflows and operational efficiency
Build inventory forecasting pipelines across Shopify
and other ecommerce channels
How You'll Work.
Team & Collaboration
Collaborate cross-functionally with marketing, operations, and analytics stakeholders to improve reporting accuracy and business visibility; Serve as the technical point of contact for the User Acquisition team regarding tracking, APIs, URLs, naming conventions, and troubleshooting
Communication Scope
Excellent communication skills in English
Full Job Description
Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. ### **About Our Clients** Our client, is a fast-growing DTC brand in the beauty and wellness space focused on hair regrowth and health solutions. The company operates within the BeautyTech and medical devices industries and is scaling toward becoming a global beauty brand. They are looking for a Data Engineer to own and optimize their modern data stack, supporting marketing analytics, attribution, reporting, and operational forecasting across the business. ### ### **Responsibilities** * Take ownership of the company’s data stack, including BigQuery and Looker Studio environments * Build and maintain real-time reporting pipelines for marketing spend and campaign performance * Implement and manage tracking pixels, server-to-server (S2S) integrations, and event tracking systems * Design and improve attribution models to support data-driven marketing decisions * Serve as the technical point of contact for the User Acquisition team regarding tracking, APIs, URLs, naming conventions, and troubleshooting * Develop automation solutions to improve reporting workflows and operational efficiency * Build inventory forecasting pipelines across Shopify, Amazon, TikTok Shop, and other ecommerce channels * Collaborate cross-functionally with marketing, operations, and analytics stakeholders to improve reporting accuracy and business visibility **Requirements** * 6+ years of experience in data engineering, preferably within ecommerce or DTC environments * Strong SQL and data modeling skills * Hands-on experience with BigQuery, Snowflake, or similar cloud data warehouses * Proficiency in Python for automation and data processing * Experience with modern data stack tools such as dbt and
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