AI & DATA ENGINEERING
Accelerate your transition to the future
with AI agents and scalable data.
Evolve.
Build agentic AI systems that outperform in every task.
Build agentic AI systems that outperform in every task.
Transform.
Shape raw information into secure and high-quality datasets.
ETL & DATA TRANSFORMATION
Architect ETL pipelines that extract, clean, transform, and load data from multiple sources, leveraging tools such as AWS Glue, Azure Data Factory, BigQuery, Snowflake, dbt, and Kafka.
DATA VISUALIZATION
Turn complex datasets into business insights with custom dashboards and reports. We build dynamic views using Power BI, Tableau, and Looker, integrating cloud data in real-time.
CLOUD AI ENGINEERING
Drive AI innovation by harnessing AWS Bedrock, Azure AI, OpenAI, Claude, combined with a secure and scalable stack of technologies.
APPLICATION MIGRATION & MODERNIZATION
Modernize legacy systems and move workloads to the cloud. Our expertise includes on-prem to cloud migrations, API integrations, and data governance.
Clients.
We build long-term partnerships with industry leaders.
Leverage.
Deploy nearshore AI development teams in three steps:
Discover
Quantify the ROI of AI before you invest. Our team delivers a full technical roadmap and cost breakdown to successfully and securely adopt AI.
Implement
Deploy agentic AI systems and test use cases (PoCs) quickly. Design modular systems that deliver measurable business results with zero hallucinations.
Scale
Expand your AI capabilities and governance. Optimize data pipelines and enable safer and easier AI adoption across every layer of the organization.
FAQ.
Answers to every question you may have:
Why should I hire nearshore AI & Data Engineers from Latin America?
With Ewents, you get top AI and Data engineers working in your same time zone — at a fraction of the cost of local hires.
Can Ewents handle compliance for regulated industries?
We offer ultra-competitive rates within $20 to $85 USD per hour. Service rates are agreed upon with our clients based on project scope, seniority, English proficiency, and specific technical skills.
What technologies does your Data Engineering team work with?
As many as you want. Most of our clients typically start with a few hires and eventually ramp up to fully managed teams of 5–6 people. These “scrum teams” or squads normally include 1 Project Manager, 2–3 engineers, a Cloud Architect, and a QA tester.
Can I start small and expand later?
Of course! We can adapt our recruiting process to fit what works best for your company. Our team has a strict vetting process, and our standard is to perform two interviews:
1) A first round to assess soft skills, language proficiency, and culture fit.
2) A second technical round to validate technical skills.
We pre-screen and run background checks on all candidates before presenting them to our clients.
I have other questions. How can I get additional information?
Feel free to contact our team or download our AI Services overview.