Vagas remotas de TI para candidatos em México.

Design, build, and maintain scalable data pipelines using Databricks and Apache Spark

• Middle
• AWS
• Azure
• Python
• +2

Design and implement scalable ETL processes

• Senior
• AWS
• MongoDB
• PostgreSQL
• +3

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

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

Fully remote position.

• Senior
• AWS
• Python
• Spark
• +1

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

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, develop, and maintain scalable data pipelines.

• Senior
• Docker
• Kubernetes
• Python
• +2

Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems

• Senior
• AWS
• Azure
• CI/CD
• +3

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

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

• Senior
• AWS
• Docker
• Kubernetes
• +4

Desarrollar, mantener y optimizar pipelines ETL/ELT.

• Middle
• GCP
• Python
• SQL

A curious problem solver who challenges the status quo

• Senior
• Python
• Spark
• SQL

At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.

• Senior
• Azure
• GCP
• Python
• +2

Migrar y optimizar datamarts a Snowflake.

• Senior
• CI/CD
• Java
• Python
• +2

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

• Senior
• AWS
• Azure
• GCP
• +3

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

• Senior
• Azure
• Python

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, 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

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

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

• Senior
• AWS
• Azure
• GCP
• +4

Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes

• Senior
• AWS
• CI/CD
• Python
• +1

Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products

• Senior
• AWS
• CI/CD
• Python
• +2

Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources

• Senior
• AWS
• MongoDB
• Python
• +3

A solid and innovative company with a strong market presence

• Senior
• Python
• Snowflake
• SQL

3+ years working with production PostgreSQL databases

• Senior
• PostgreSQL
• Python
• SQL

Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.

• Middle
• AWS
• Azure
• GCP
• +2

Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.

• Senior
• AWS
• Azure
• CI/CD
• +4

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

Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, or a related technical field (or equivalent practical experience).

• Senior
• Azure
• CI/CD
• JavaScript
• +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

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

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

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

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

• Senior
• Java
• JavaScript
• Python
• +2

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

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

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

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

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

Work with various ERP and IOT data sources to Build interactive and dynamic Power BI dashboards for data storytelling and stakeholder decision support

• Python
• Snowflake
• SQL

Collaborate closely with our engineering, analytics, data science, and product teams as we take our machine learning projects and infrastructure to the next level

• Senior
• AWS
• Python
• SQL

4+ years of software development experience

• Senior
• AI
• Android
• Flutter
• +11

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

• Senior
• AI
• Android
• Flutter
• +11