Staff Data Engineer

This is a fully remote position, open to applicants in Chile.

📋 Description

• Design, scale, and operationalize data systems that empower Vidmob’s creative intelligence platform.

• Oversee the creation and development of data systems that support analytics, ML/AI products, reporting, APIs, integrations, and customer-facing data solutions.

• Lead the ingestion, transformation, modeling, validation, lineage, publishing, and serving of creative, media, customer, model-output, and performance data.

• Architect scalable, observable, replayable, and cost-effective batch and near-real-time data pipelines.

• Collaborate with Data Science to implement models, scores, embeddings, prompts, evaluations, and experimental outputs into production.

• Establish foundational data systems for LLM, VLM, multimodal analysis, agent workflows, and reinforcement learning products.

• Set best practices for data contracts, pipeline design, testing, reviews, observability, and readiness for production.

• Create governed datasets and serving patterns for dashboards, APIs, exports, partner integrations, ML workflows, benchmarks, and agent-ready applications.

• Develop reliable data flows with advertising platforms, DSPs, measurement partners, creative systems, customer environments, and internal product interfaces.

• Influence long-term strategies regarding tools, storage, processing frameworks, serving patterns, governance, and cost efficiency.

• Leverage AI to enhance engineering, validation, observability, root-cause analysis, documentation, and data discovery.

⛳️ Requirements

• Over 8 years of experience in data engineering, data platform engineering, or analytics engineering in SaaS, platforms, AdTech, MarTech, marketplaces, or other data-intensive environments.

• Extensive experience with modern technologies for warehouses, lakehouses, orchestration, and transformation, including Snowflake, Databricks, and BigQuery.

• Proficient in both relational and NoSQL databases.

• Expertise in production-grade SQL.

• Strong programming capabilities in Python, Scala, Java, or similar languages.

• Experience designing batch, incremental, and near-real-time processing systems at scale.

• Knowledge in creating high-volume processing pipelines and the associated architecture.

• Experience building or supporting production products driven by ML or AI, preferably including LLMs, VLMs, embeddings, recommendation systems, or multimodal data products.

• Ability to put models into production, monitor outputs, establish feedback loops, and ensure experimental work is reliable at scale.

• Experience implementing practices for validation, monitoring, lineage, alerting, incident response, and data trust.

• Regular use of AI tools to expedite development, testing, documentation, data discovery, root-cause analysis, and operational workflows.

• Strong writing skills and attention to detail in documentation.

• Familiarity with AdTech, MarTech, platform APIs, ML-powered products, or customer-facing analytics products is a significant advantage.

• Proficiency in written and spoken English at a B2+ level is required.

• Capability to take ownership of outcomes, not just pipelines.

🏝️ Benefits

• Equity offerings available.

• Opportunities for periodic international travel within Latin America or to the United States.