Staff Data Engineer

🔥 0 minutes ago

🇨🇱 Chile – Remote

💵 $7k - $72k / month

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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Vidmob

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

Consulting • Marketing • Advertising

Vidmob is a company specializing in creative data analytics, offering robust tools and solutions to brand teams, creative teams, media teams, and agencies. The company leverages over 40 proprietary AI models and analyzes trillions of creative elements to improve creative and media decisions. Vidmob provides services like creative scoring, creative analytics, and exports, along with Diversity Measurement and GenAI integration. It partners with major ad platforms to enhance creative effectiveness and media ROI, helping brands to achieve better performance metrics such as increased Click-Through Rates and View-Through Rates. Vidmob is recognized by several prestigious awards for innovation and creativity in advertising and media.

📋 Description

• Architect, scale, and operationalize data systems powering Vidmob’s creative intelligence platform • Lead design and development of data systems supporting analytics, ML/AI products, reporting, APIs, integrations, and customer-facing data products • Drive ingestion, transformation, modeling, validation, lineage, publishing, and serving across creative, media, customer, model-output, and performance data • Architect scalable, observable, replayable, and cost-efficient batch and near-real-time pipelines • Partner with Data Science to productionize models, scores, embeddings, prompts, evaluations, and experimental outputs • Build data foundations for LLM, VLM, multimodal analysis, agent workflows, and reinforcement learning products • Establish best practices for data contracts, pipeline design, testing, reviews, observability, and production readiness • Build governed datasets and serving patterns for dashboards, APIs, exports, partner integrations, ML workflows, benchmarks, and agent-ready use cases • Build reliable data flows with ad platforms, DSPs, measurement partners, creative systems, customer environments, and internal product surfaces • Influence long-term decisions around tooling, storage, processing frameworks, serving patterns, governance, and cost structure • Use AI to accelerate engineering, validation, observability, root-cause analysis, documentation, and data discovery

🎯 Requirements

• 8+ years in data engineering, data platform engineering, or analytics engineering in SaaS, platform, AdTech, MarTech, marketplace, or other data-heavy environments • Deep experience with modern warehouse, lakehouse, orchestration, and transformation technologies including Snowflake, Databricks, and BigQuery • Experience with relational and noSQL databases • Production-grade SQL • Strong programming skills in Python, Scala, Java, or similar languages • Experience designing batch, incremental, and near-real-time processing systems at scale • Experience designing high-volume processing pipelines and the architecture surrounding them • Experience building or supporting production products powered by ML or AI, ideally including LLMs, VLMs, embeddings, recommendation systems, or multimodal data products • Ability to productionize models, monitor model outputs, build feedback loops, and make experimental work reliable at product scale • Experience implementing validation, monitoring, lineage, alerting, incident response, and data trust practices • Active use of AI tools to accelerate development, testing, documentation, data discovery, root-cause analysis, and operational workflows • Excellent writing and artifact discipline • Familiarity with AdTech, MarTech, platform APIs, ML-powered products, or customer-facing analytics products is a major plus • B2+ written and spoken English required • Ability to own outcomes, not just pipelines

🏖️ Benefits

• Offers Equity • Periodic international travel within Latam or to the US