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Data Engineer IV - Marketing & Ads

SGS ConsultingUnited States🇺🇸United StatesPosted Oct 12, 2026

Why This Role Stands Out

Advance your career in a dynamic marketing and ads environment, where you'll build and optimize critical data pipelines that impact millions of advertisers, offering significant growth and learning opportunities. If you're a skilled data engineer with a passion for creative data structuring and collaborative problem-solving, this hybrid role is an excellent opportunity to leverage your expertise.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
9 hours ago
SQLPython

Job Description

Job Responsibilities

Develop and optimize real-time data pipelines from existing data sources.
Structure and organize large datasets for fast, smooth operations.
Build and maintain data tables supporting multiple marketing signals across millions of advertisers.
Collaborate with team members and act quickly on feedback.
Serve as the data expert for marketing science initiatives.

Skills

Ability to build data pipelines and infrastructure from existing data sources
Experience creatively finding ways to structure data so it runs faster and smoother
Strong soft skills: partnerships and ability to act quickly on feedback
Proficiency in Python and SQL (Python preferred). Experience with MAANG is a plus.

Experience working with large volumes of data
Familiarity with customer lifecycle management and CRM data
Marketing expertise, especially with data tables used to power marketing campaigns
Education/Experience:
Proven 05+ years of experience in building data pipelines and infrastructure. Strong skills in Python (preferred) and SQL. Ability to creatively structure data for performance and scalability. Experience working with large volumes of data (millions of rows). Bachelor’s degree in computer science, Data Analytics, or related field. Strong collaboration and communication skills.

Experience with customer lifecycle management, CRM data, or marketing data tables is a plus. Comfortable working in fast-paced environments with large datasets.

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