Mira encontra vagas remotas de TI para as quais você pode realmente aplicar.

Remote + Hybrid Flexibility: Enjoy the best of both worlds—collaborative office days when it counts, balanced with the freedom to work from home.

Design, build, and maintain scalable data pipelines for ingestion, transformation, and delivery using Fivetran and API Ingestion with AWS S3

Lead the end-to-end design, implementation, and optimization of machine learning, deep learning, and traditional algorithms for business-critical applications.

, designing the solution, and seeing it through to completion. You will design, construct, install, test, and maintain highly scalable data management systems and robust data pipelines.

Build and maintain scalable ELT pipelines using dbt and BigQuery, following software engineering best practices such as testing, documentation, and CI/CD workflows.

Build and scale Databricks AI/BI solutions (dashboards, Genie experiences, data pipelines)

Design and implement ETL/ELT processes to integrate data from a variety of internal and external sources into an analytical-based data model to support business analytics or product development.

Build and scale the ingestion layer across third-party marketing APIs (Meta, Google, TikTok, GA4, Shopify, Klaviyo, and more) — auth, extraction, rate-limit handling, backfill, and incremental sync.

Design and implement scalable ETL/ELT pipelines using both batch and streaming patterns

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

Build and maintain scalable, distributed, fault-tolerant data pipelines on GCP

Build and maintain scalable, distributed, fault-tolerant data pipelines on GCP, including BigQuery-based lakehouse layers and Dataproc-driven Delta Lake workflows