Vagas remotas de Python com elegibilidade clara.

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

Define and enforce best practices for secure coding, dependency management, and design reviews across engineering teams

• Senior
• AWS
• CI/CD
• JavaScript
• +3

Experience:8+ years of professional software engineering experience in enterprise-grade full-stack environments. Language:Full verbal and written fluency in English.

• Senior
• CI/CD
• Java
• Kubernetes
• +4

Cross-Functional Stakeholder Leadership: Translate complex business requirements into technical AI specifications in collaboration with product, operations, and business teams.

• Senior
• AWS
• Azure
• CI/CD
• +4

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

Develop long-term technical vision for the team

• Senior
• CI/CD
• GCP
• Python
• +1

Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.

• Senior
• AWS
• Docker
• LLM
• +4

Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.

• Senior
• AWS
• CI/CD
• Docker
• +3

Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.

• Senior
• AWS
• Azure
• GCP
• +4

Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.

• Senior
• AWS
• Azure
• CI/CD
• +5

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

• Senior
• Azure
• CI/CD
• LLM
• +3

Partner with cross-functional teams to define BI and analyticsrequirements

• Senior
• AWS
• Azure
• CI/CD
• +4

Data Architecture & Pipeline Development Design and maintain scalable data pipelines for efficient data processing.

• Senior
• AWS
• Azure
• GCP
• +4

Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.

• Senior
• AWS
• CI/CD
• PostgreSQL
• +3

and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security

• Senior
• Java
• Python
• SQL
• +4

Build modern web applications - Design, develop, and maintain full-stack applications using React, JavaScript/TypeScript, Node.js, and AWS technologies.

• Senior
• AWS
• CI/CD
• Docker
• +8

Design, develop, and optimize scalable Machine Learning models for advertising intelligence and forecasting systems

• Senior
• AWS
• Golang
• Python
• +1

Business Translation & Requirements Definition: Actively engage with business stakeholders to understand context, challenges, and underlying needs;

• Senior
• CI/CD
• Python
• SQL

Business Translation & Requirements Definition: Actively engage with business stakeholders to understand context, challenges, and underlying needs;

• Senior
• CI/CD
• Python
• SQL

Understanding the business requirements

• Senior
• MongoDB
• Python
• Snowflake
• +1

Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics

• Senior
• CI/CD
• Python
• SQL

Design and maintain robust data pipelines to ingest from a wide range of sources, including APIs, documents, websites, and raw sensor data

• Middle
• AWS
• Azure
• GCP
• +4

Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion

• Senior
• AWS
• Azure
• GCP
• +4

A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems

• Senior
• AWS
• Azure
• CI/CD
• +3

Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

• Senior
• AWS
• Docker
• Kubernetes
• +4