Mira encuentra roles remotos de TI a los que realmente puedes aplicar.

Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software

• Lead
• AWS
• Azure
• Java
• +5

Design and implement scalable ETL processes

• Senior
• AWS
• MongoDB
• PostgreSQL
• +3

3+ years working with production PostgreSQL databases

• Senior
• PostgreSQL
• Python
• SQL

Develop and maintain backend services and REST APIs using Python frameworks (FastAPI, Flask, or Django)

• Middle
• AWS
• Azure
• Docker
• +6

Design and maintain ETL/ELT pipelines for large-scale data processing.

• Senior
• AWS
• Azure
• GCP
• +3

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

• Senior
• React
• AI
• Android
• +14

Diseñar, desarrollar y mantener canalizaciones de datos (ETL/ELT) utilizando Python y SQL, bajo la Arquitectura Medallion, asegurando la transformación, limpieza y estructuración de los datos en Google Cloud Platform (GCP).

• Middle
• GCP
• Python
• SQL

Design and build ETL pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools)

• Senior
• Python
• SQL

Develop and implement machine learning models such as recommendation engines, customer segmentation, and predictive analytics to support customer-centric business initiatives.

• Senior
• AWS
• CI/CD
• Python
• +2

Build and maintain Python Notebooks to ingest data from third-party APIs

• Senior
• Azure
• Python

Co-develops batch and streaming pipelines, semantic models, and transformationson Databricks (Python/Spark).

• Senior
• AWS
• Azure
• Python
• +1

Architect, implement, and maintain Azure cloud infrastructure using Infrastructure‑as‑Code (Terraform, Bicep, or ARM).

• Senior
• Azure
• CI/CD
• Docker
• +4

Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.

• Senior
• AWS
• Azure
• CI/CD
• +4

Lead end-to-end data migration initiatives, ensuring a smooth, secure, and business-aligned transition.

• Senior
• AWS
• Azure
• Python
• +1

Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.

• Senior
• Python
• SQL

Develop and implement Snowflake-based governance solutions that ensure data quality, security, and compliance across enterprise platforms.

• Senior
• AWS
• Python
• Snowflake
• +1

Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.

• Senior
• LLM
• Python
• Salesforce
• +1

Build core product experiences including ReactJS portals, Flask-based APIs, and batch interfaces used across all GenLogs applications.

• Senior
• Java
• JavaScript
• Python
• +2

Desarrollar, mantener y optimizar pipelines ETL/ELT.

• Middle
• GCP
• Python
• SQL

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

• Lead
• AI
• Android
• Flutter
• +12

Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.

• Senior
• Python
• SQL

A curious problem solver who challenges the status quo

• Senior
• Python
• Spark
• SQL

Design, build, and maintain reliable and scalable ETL (extract, transform, load) pipelines to collect, process, and store large volumes of structured and unstructured data from multiple sources.

• Middle
• AWS
• CI/CD
• Docker
• +4