Mid-Level Data Engineer

Job not on LinkedIn

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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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Quality Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Quality Digital is a leading technology company in Brazil with over 34 years of experience, specializing in accelerating digital transformation for businesses. They provide innovative digital solutions that enhance operational performance, governance, and customer communication through the use of specialized teams and digital platforms. Their services include IT optimization, automation, digital strategy, and AI analytics to create high-value experiences across multiple channels.

📋 Description

• Assist with database architecture for AI projects • Assist with the implementation and maintenance of data pipelines for ingesting, storing, and processing large volumes of data • Ensure that data is available, accessible, and ready for data scientists and other stakeholders • Assist with prototyping and testing Generative AI models to solve specific business problems • Participate in the analysis of logs and usage metrics for AI models to identify failures, unexpected behavior, or opportunities to improve the user experience • Document processes, methodologies, and results related to AI projects • Participate in designing business process solutions using AI

🎯 Requirements

• Knowledge of database architecture and data pipeline design • Knowledge of data integration between systems • Knowledge of structured, vector, and unstructured database tools • Knowledge of Python, PySpark, and SQL • Knowledge of infrastructure and cloud platform frameworks, including Salesforce, AWS, Azure, GCP, Databricks, and Dataiku • Knowledge of technology stacks and development frameworks for LLMs, Agents, and Agentic AI • Knowledge of MLOps and AIOps architectures, including CI/CD for models, version control, and monitoring with MLflow • Knowledge of Cursor, GitHub Copilot, Claude Code, and Codex • Certifications in Databricks, Azure, or AWS are a plus • Knowledge of SAS is a plus • Experience implementing machine learning and computer vision solutions in data pipelines is a plus • Knowledge of data governance is a plus • Experience optimizing infrastructure costs (FinOps) in AI projects is a plus • Knowledge of Spec-Driven Development (SDD) for AI projects is a plus

🏖️ Benefits

• An environment conducive to learning and professional growth • Performance reviews and feedback focused on continuous development • Meal and/or food allowance • Medical and dental insurance • Pharmacy partnerships offering discounts on medications • Childcare assistance in accordance with the applicable policy • Partnership with SESC, offering a variety of cultural and leisure activities • Partnerships for language and technology studies, as well as access to a course platform • Payroll-deducted loans at attractive rates • Financial education program • Corporate University and learning pathways • Referral program with opportunities for prizes and bonuses • Group life insurance