Senior Ad Ops Engineer

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $129 400 - $198 400 / an

⏰ Temps Plein

🟠 Senior

⚙️ Opérations

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General Motors

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1908

🚗 Transport

⚡ Énergie

🏢 Entreprise

💰 €500 000 000 Grant en 2024-07

Transport • Energy • Enterprise

General Motors est une multinationale de premier plan dans l'industrie automobile, engagée dans la création d'un avenir sans accidents, sans émissions et sans congestion. Avec des opérations et des installations dans le monde entier, GM se concentre sur l'innovation dans divers domaines, notamment l'ingénierie, la fabrication et les technologies de l'information. L'entreprise met l'accent sur la diversité, l'inclusion et le développement de technologies durables pour façonner l'avenir de la mobilité.

Description

• Architect, build, and optimize data pipelines for marketing and advertising datasets, including nonstandard or semi-structured partner formats • Implement data models, storage patterns, and orchestration workflows that support campaign activation, attribution, measurement, and analytics • Build and maintain automated data quality and validation systems using LLM-based and rule-based approaches • Integrate and normalize data from marketing platforms, digital agencies, and third-party partners, ensuring performance, reliability, and consistency • Develop ingestion frameworks for log-level data, event streams, pixel files, and other marketing specific formats • Establish and maintain data governance practices including schema tracking, lineage awareness, metadata standards, and privacy compliance • Build observability into pipelines with logging, monitoring, and anomaly detection for operational stability • Collaborate with cross-functional teams to interpret marketing data requirements and translate them into scalable technical solutions

🎯 Exigences

• Bachelor’s degree (Master’s preferred) in Computer Science, Data Engineering, Information Systems, or a related technical field • 5+ years of experience in data engineering, advertising technology engineering, or marketing data engineering • 2+ years of experience working with digital advertising, marketing analytics, digital agencies, or marketing activation platforms • Experience with marketing or ad tech ecosystems such as Yahoo, Google, Meta, The Trade Desk, Adobe, Salesforce, or similar • Proficiency in Python, SQL, and distributed data frameworks such as PySpark • Hands-on expertise working with non-standard marketing data formats, including log-level ad server files, event streams, pixel data, or partner exports • Experience with modern data platforms such as Databricks, Snowflake, Kafka, dbt, or Airflow • Experience architecting solutions in cloud environments (Azure preferred; AWS/GCP acceptable) • Strong understanding of data modeling, warehousing, governance, schema evolution, and data reliability practices • Experience building automated or agentic data quality validation systems, including LLM-driven or rules-based frameworks • Ability to translate complex marketing data needs into scalable, production-ready engineering solutions

🏖️ Avantages

• medical • dental • vision • Health Savings Account • Flexible Spending Accounts • retirement savings plan • sickness and accident benefits • life insurance • paid vacation & holidays • tuition assistance programs • employee assistance program • GM vehicle discounts