Data Engineer, AI & Analytics

🕒 August 23

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Power Digital Marketing

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

👥 B2C

📣 Marketing

Consulting • B2C • Marketing

Power Digital Marketing is a tech-enabled growth marketing firm that operates at the intersection of data, technology, and human intelligence to make profit predictable. The company provides a comprehensive suite of digital marketing services, including strategic consulting, creative campaigns, data intelligence, media planning, and more to ignite every phase of the customer journey. Power Digital Marketing focuses on delivering business impact through transparency, data-driven strategies, and advanced technologies, helping brands achieve sustained growth and competitive advantage in a hyper-competitive market.

📋 Description

• Design, build, and maintain the core data foundation, including ingestion, modeling, and data marts • Build ingestion resilient to API changes, deprecated fields, rate limits, and retroactive conversion restatements • Model and reconcile marketing data across Meta, Google, TikTok, Amazon, LinkedIn, Microsoft, Shopify, Klaviyo, GA4, and client CRMs • Contribute to client-specific modeling, custom logic, overrides, and bespoke data marts • Build semantic layers and metric definitions for consistent AI-generated SQL • Use AI-agentic workflows and AI coding tools to accelerate development and build intelligent data infrastructure • Document effective AI-agentic development patterns for team adoption • Collaborate with nova product and engineering, AI/innovation, Client Service, BI, Tagging & Tracking, Data Ops, and client teams • Monitor and resolve data quality issues • Optimize pipelines for cost and performance across a multi-client warehouse • Deliver production-ready datasets and pipelines supporting AI, product, agency, and client teams • Reduce data fragmentation through unified, AI-ready data foundations

🎯 Requirements

• 3+ years in data or analytics engineering • 1+ year owning a dbt project of meaningful size in production • Advanced proficiency in Python and SQL • Deep expertise in dbt, including incremental strategies, full-refresh tradeoffs, Jinja, macros, packages, tests, snapshots, source freshness, exposures, DAGs, and materializations • Strong command of Snowflake and the surrounding cloud data stack • Experience modeling in a multi-tenant environment • Working knowledge of marketing and advertising datasets, including UTMs, attribution windows, and platform-reported versus warehouse-reported conversions • Experience designing and managing end-to-end data lifecycles from ingestion to serving • Familiarity with cloud-native infrastructure, specifically GCP, and infrastructure-as-code principles • Real adoption of AI-agentic development workflows, including Cursor, Claude Code, or GitHub Copilot • Ability to architect AI-ready data models, including feature stores and semantic layers • Experience with Git and CI/CD best practices, including automated testing • Advanced spoken and written English proficiency required • Comfortable shipping iteratively and refining data products based on live feedback

🏖️ Benefits

• Equal Opportunity Employer • Diversity and inclusion valued across race, gender identity, age, disability status, veteran status, sexual orientation, religion, and other identities