Data Engineer
Build Scalable, High-Performance Data Pipelines with Nearshore Engineers
Data Engineers design, build, and maintain the modern data stacks that power analytics, AI, and real-time applications. They transform raw, fast-moving data into governed, analytics-ready assets, ensuring every downstream consumer can trust the data and move faster. From streaming ingestion to lakehouse modeling, they create the resilient backbone on which data-driven companies thrive.
Chosen by Fast-Growing Teams
Key Focus Areas
Handling high‑volume streams, evolving schemas, and tooling sprawl can leave teams fighting data fires instead of delivering insights. Our Data Engineers clear that fog by honing in on the pillars that keep data flowing, trusted, and ready for action.
Data Acquisition
& PipelinesData Acquisition & Pipelines
Design resilient batch/stream pipelines that ingest, transform and deliver trustworthy data/feature sets.Real-time
InferenceReal-time Inference
Serve low-latency predictions via micro-services or streaming frameworks, with monitoring for drift & quality.Data Storage & Management
Data Storage & Management
Select, model and administer relational & NoSQL stores for scalability, security and performance.Tooling & Platform Enablement
Tooling & Platform Enablement
Provision version-controlled, self-service tooling to speed delivery.ML Ops & Lifecycle Automation
ML Ops & Lifecycle Automation
Automate CI/CD for ML: version data/models, orchestrate retrains, manage feature stores, monitor performance.Tools & Technologies
Our Data Engineers work within a modern lakehouse stack that ensures flexibility, scalability, and reliability across every stage of the data journey. From ingestion to insight, they implement harness tools that enable fast iteration, collaboration, and cost control.
Below, you’ll see some of the most-used tools & technologies across the AI & Data lifecycle stages a Data Engineer typically works on. If your stack runs on something else, let us know, our team adapts to any platform.
Lifecycle Stages
Ingest & Organize
Acquire, clean, and structure data with governed pipelines, scalable storage, and platform enablement so information is reliable, secure, and discoverable.
Explore & Understand
Model & Experiment
Design experiments and causal analyses; develop, validate, and tune models and features; add real-time inference where instant decisions matter.
Deploy & Operate
Ship models to production with CI/CD and serving, monitor performance and drift, automate retraining, and feed insights back into the next iteration.
Acquire, clean, and structure data with governed pipelines, scalable storage, and platform enablement so information is reliable, secure, and discoverable.
Turn raw tables into business context through storytelling, dashboards, KPI definitions, and analytics that surface opportunities and risks.
Design experiments and causal analyses; develop, validate, and tune models and features; add real-time inference where instant decisions matter.
Ship models to production with CI/CD and serving, monitor performance and drift, automate retraining, and feed insights back into the next iteration.
Meet Some of Our Data Engineers
8 years Mercado Libre Walmart
Lucas
Streaming ingestion, Spark optimization, commerce data lakes
Past Companies
7 years Nubank OLX
Fernanda
Medallion lakehouse, security hardening, Unity Catalog rollout
Past Companies
10 years Rappi Falabella
Mateo
Batch-to-stream migration, cost optimization, data mesh
Past Companies
6 years PedidosYa Globant
Isabella
Real-time analytics, event-driven design, Kubernetes data services
Past Companies
9 years LATAM Airlines Banco de Chile
Ricardo
Governance & lineage, SOC 2 compliance, SQL optimization
Past Companies
7 years Interbank Belcorp
Camila
Data lake automation, CI/CD for pipelines, FinTech reporting
Past Companies
U.S. Hiring vs Abstra Nearshore Savings
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Why Abstra Is Your Ideal Partner
Fast and Flexible
Fast and Flexible
Our adaptability and agile processes enable us to swiftly meet your project needs, delivering tech solutions aligned with your timelines and goals.
Partnership-Oriented
Partnership-Oriented
Through open communication and mutual trust, we create collaborative relationships that drive sustained success and growth.
US-Trained Leadership
US-Trained Leadership
Our US-trained founders bring a wealth of technical knowledge and a deep understanding of the US and LATAM markets.
15 Years of Experience
15 Years of Experience
Our expertise spans a variety of industries. We tailor our solutions to meet the needs of each company, regardless of its size or sectorWhat Are the Different Ways to Hire Our Team?
Staff Augmentation
Our professionals seamlessly integrate into your team, boosting your capabilities and driving your projects forward.
Dedicated Teams
We provide complete software teams that become integral to your organization, working collaboratively to achieve your business goals.
Software Outsourcing
Our experienced project managers and software teams handle your projects from start to finish, delivering tailored solutions that meet your requirements.
Managed IT Services
We offer comprehensive management of your IT services, ensuring smooth operations and optimal performance of your tech stack.
Ready to take the next step?
Frequently Asked Questions
Can Abstra supply a full team or just one role?
Both. We can provide a single specialist to fill a specific gap or build out an entire cross-functional team tailored to your project.