Nearshore Data Engineering Outsourcing

Data engineering involves designing, building, and maintaining the infrastructure that collects, stores, and processes data at scale. Our nearshore data engineers create robust data pipelines, implement modern data architectures, and build analytics platforms that turn raw data into business insights. Based in San Francisco with distributed talent across Latin America and the Caribbean, we provide data engineering expertise through three models: staff augmentation, dedicated teams managed by you, or dedicated teams managed by Azumo. Our developers integrate seamlessly with your existing teams to deliver enterprise-grade data solutions.

We offer three flexible engagement models to meet your specific needs. Staff Augmentation embeds individual data engineers directly into your existing teams, providing specialized skills like Apache Spark optimization or real-time streaming expertise. Customer-Managed Dedicated Teams gives you a complete data engineering team that you direct and manage, ideal for major platform builds or migrations. Azumo-Managed Dedicated Teams provides end-to-end project delivery where we manage the team and deliverables. All our data engineers are SOC 2 certified and experienced with modern data stacks including Snowflake, Databricks, Apache Kafka, and cloud platforms (AWS, GCP, Azure).

Our data engineers are experts in the complete modern data stack. For data processing, they work with Apache Spark, Apache Beam, dbt, and cloud-native ETL services. For real-time streaming, they implement Apache Kafka, Apache Flink, and Kafka Streams. For cloud platforms, they specialize in AWS (S3, Redshift, Glue), Google Cloud (BigQuery, Dataflow), and Azure (Synapse, Data Factory). For analytics and ML, they integrate with tools like Looker, Tableau, MLflow, and Databricks. Our developers also excel in Python, SQL, infrastructure as code, and DataOps practices, ensuring your data platform is scalable, reliable, and maintainable.

Our data engineers bring extensive enterprise experience, having built data platforms processing petabytes of information for major companies like Meta and Discovery Channel, as well as early-stage startups. They've implemented solutions handling millions of events per second, created data warehouses serving thousands of business users, and designed ML pipelines improving business outcomes. Our developers understand complex requirements like GDPR compliance, real-time analytics, data governance, and cost optimization. With our nearshore model, you get senior-level expertise at competitive rates while maintaining overlapping time zones for seamless collaboration.

Our nearshore model provides 40-60% cost savings while maintaining the same quality and expertise. Pricing varies based on seniority level, engagement model, and project complexity. Staff augmentation for individual data engineers typically ranges from $6,000-$10,000 per month depending on experience level. Dedicated teams are priced based on team size and composition. We believe most clients see 3-5x ROI within 6-12 months through improved data infrastructure efficiency, faster time-to-insights, and reduced operational costs. We provide transparent pricing and flexible contracts to match your budget and timeline requirements.

We maintain rigorous vetting processes including technical assessments on real-world data engineering scenarios, architecture design challenges, and hands-on coding evaluations with tools like Spark and Python. Our developers are evaluated on both technical skills and soft skills including communication, collaboration, and problem-solving. Being based across Latin America and the Caribbean, our talent shares similar time zones and work culture with US companies, enabling seamless integration with your existing teams. We are SOC 2 certified and experienced with enterprise security and compliance requirements. We also provide ongoing mentorship and training to ensure continuous skill development.

Absolutely. Our data engineers have extensive experience with large-scale enterprise transformations including legacy mainframe to cloud migrations, on-premises data warehouse modernization, and ETL to modern ELT pipeline conversions. They've successfully migrated 100TB+ datasets with 99.99% data integrity while maintaining zero-downtime requirements. Our teams are skilled in assessment and planning phases, incremental migration strategies, and risk mitigation approaches. They work with tools like AWS Database Migration Service, Azure Data Factory, and custom migration frameworks to ensure smooth transitions while improving performance and reducing costs.

Our established talent network allows us to typically provide qualified data engineers within 1-2 weeks for staff augmentation roles. For dedicated teams, we can assemble and deploy complete teams within 1-3 weeks depending on size and specific skill requirements. Our streamlined onboarding process includes technical orientation, security compliance setup, and integration with your existing tools and workflows. Given our nearshore location and cultural alignment, our developers integrate quickly with minimal ramp-up time. We maintain a bench of pre-vetted senior data engineers to ensure rapid deployment for urgent projects or scaling needs.