Python Engineer Django Data Pipelines Remote - 2,870+ ofertas

Qualtop

Qualtop busca un profesional para unirse al equipo central de datos, encargado de la ingesta, procesamiento y modelado de flujos masivos. El rol incluye diseñar arquitecturas de eventos masivos, optimizar queries en BigQuery, implementar microservicios con Docker y colaborar con equipos de ciencia d

Kapital Grupo Financiero

En Kapital Grupo Financiero se busca un Data Engineer en Ciudad de México para transformar la gestión financiera mediante la creación de pipelines de datos. El candidato ideal tendrá más de 5 años de experiencia en el campo, con un fuerte enfoque en Python y Apache Spark, optimizando flujos de datos

FunnelCake seeks a Staff Software Engineer to design and scale high-performance data processing systems. The ideal candidate will have over 7 years of experience in backend engineering, including hands-on Python and Typescript. This remote position offers a market-leading compensation package, compr

At Varicent, We’re Not Just Transforming The Sales Performance Management (SPM) Market—we’re Redefining How Organizations Achieve Revenue Success. Our Cutting‑edge SaaS Solutions Empower Revenue Leaders Globally To Design Smarter Go‑to‑market Strategies, Maximize Seller Performance, And Unlock Untap

AgileEngine

AgileEngine in León, Mexico is hiring a Data Engineer to design and scale high-performance ELT pipelines for a centralized data warehouse. You will collaborate with cross-functional teams to improve data accessibility and usability while mentoring other engineers. The ideal candidate has over 5 year

Synergy Business Consulting, Inc.

Synergy Business Consulting, Inc. is seeking a Senior Data Engineer to join an innovative remote team. This position requires a minimum of 5 years of experience in Data Engineering, with expert knowledge in Azure Data Factory. Responsibilities include maintaining scalable data pipelines, mentoring j

AgileEngine, LLC. in Santiago de Querétaro is seeking a Senior Data Engineer. In this role, you will design and maintain scalable data pipelines supporting various financial functions. Ideal candidates have over 5 years of experience in Data Engineering, proficient in Python, and familiar with big d

Agileengine

AgileEngine in León, Mexico is hiring a Data Engineer to design and scale high-performance ELT pipelines for a centralized data warehouse. You will collaborate with cross-functional teams to improve data accessibility and usability while mentoring other engineers. The ideal candidate has over 5 year

TechTree is looking for a Software Engineer in Mexico City to build and innovate along the company’s stack, including APIs and data pipelines. You will ship features end-to-end, design integrations with customer systems, and collaborate on transforming workflows into software solutions. The ideal ca

Senior Data Engineer - Data Warehouse & BI Platform Location:Fully remote Salary:$55-70K plus excellent benefitsPlease note:The Opportunity Our client is a venture-backed Agri-Tech business using technology to improve livestock care and support better decision-making for farmers. They are looking fo

LTM

Role: Azure Data Architect The Azure Data Architect will be responsible for designing, implementing, and optimizing scalable data platforms and architectures on Microsoft Azure. This role focuses on data integration, ETL pipelines, analytics enablement, and enterprise data governance to support busi

Luxoft

We are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture. Mandatory Skills Description: • Readiness to work until 8.00 pm CET (no need to do o

Ibm Computing

IBM Computing in Mexico City is seeking an IT professional with 4-5 years of experience in technical roles.The successful candidate will design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL, along with building cloud infrastructure with AWS and Terraform.Advanced Englis

Cacheflow is seeking a Senior Software Engineer in Mexico City to design, develop, and maintain scalable cloud software solutions. The role involves working with multidisciplinary teams to solve problems and innovate technology. Candidates should have experience in managing teams, designing RESTful

TechTree is looking for a Software Engineer in Mexico City to build and innovate along the company's stack, including APIs and data pipelines. You will ship features end-to-end, design integrations with customer systems, and collaborate on transforming workflows into software solutions. The ideal ca

Infosys

A leading technology company is seeking a Data Developer in Mexico, Jalisco.This role focuses on designing and maintaining datasets within AWS, collaborating with data analysts, and building robust data ingestion processes.Ideal candidates possess strong skills in SQL and Python, with experience in

FunnelCake seeks a Staff Software Engineer to design and scale high-performance data processing systems. The ideal candidate will have over 7 years of experience in backend engineering, including hands-on Python and Typescript. This remote position offers a market-leading compensation package, compr

Slalom

Slalom está buscando un(a) Ingeniero(a) de Datos en Jalisco, México, para construir y mejorar pipelines con Snowflake y Azure Data Factory.La persona en este rol será responsable de resolver problemas, optimizar el rendimiento y asegurar la calidad de los datos.Se requiere 2-3 años de experiencia en

Luxoft

Project description The Client provides the biopharmaceutical and life sciences industries with integrated drug development and manufacturing solutions, from large-scale in vitro and in vivo drug candidate efficacy studies to the clinical and commercial supply of biologics. We are committed to advan

Capgemini

Capgemini is hiring a Data Platform Engineer in Aguascalientes who will design and develop data pipelines using Microsoft Fabric and Azure Data Factory. This role requires collaboration with product owners and engineers, implementing DevOps practices, and optimizing data architecture for analytics.