Data Engineer – AI

Job not on LinkedIn

🔥 0 minutes ago

🌐 Brazil, Venezuela, +4 more countries – Remote

🇧🇷 Brazil – Remote 🇻🇪 Venezuela – Remote 🇨🇴 Colombia – Remote 🇨🇱 Chile – Remote 🇲🇽 Mexico – Remote 🇦🇷 Argentina – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 19%

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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RevStar

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

RevStar is a digital transformation and innovation consultancy that helps organizations move from vision to execution by combining strategic clarity with technical execution. They offer services including strategic growth roadmaps, modern customer journey design, GenAI/AI action plans, data infrastructure, product testing and MVP sprints, and modernization roadmaps. RevStar emphasizes practical, outcomes-driven innovation and partners with leaders in healthcare, insurance, and finance to solve mission-critical challenges.

📋 Description

• Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across AWS, Azure, and GCP • Implement scalable Lakehouse architectures processing structured and unstructured data at enterprise scale • Automate data ingestion, storage, and feature engineering workflows for analytics and real-time AI workloads • Tune Spark jobs for low latency, high throughput, and cloud cost-efficiency • Partner with ML engineers and data scientists to operationalize AI models in Databricks using MLflow • Implement CI/CD pipelines and Infrastructure-as-Code using Terraform and Databricks CLI • Enforce enterprise data security, access controls, and compliance standards including GDPR, HIPAA, and SOC 2 • Collaborate with client tech leaders, product managers, and engineering teams to translate AI data requirements into business outcomes • Author technical documentation • Lead solution handoffs to client engineering teams

🎯 Requirements

• 3+ years in cloud-native data engineering • 2+ years of dedicated, hands-on Databricks, Apache Spark, Delta Lake, and MLflow experience • High proficiency in Python, SQL, Spark frameworks, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI) • Proven track record operating in fast-paced Agile/DevOps consulting environments • Experience delivering cloud-agnostic architectures • Exceptional client communication • Active Databricks Certified Data Engineer (Associate or Professional) or Databricks ML Professional certification is strongly preferred

🏖️ Benefits

• Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team. • Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative. • Equal opportunity workplace • Reasonable accommodation for individuals with disabilities