17 publicaciones de empleo destacadas de data engineer etl en sector popular cdmx (¡Están contratando!)

Senior Full Stack Engineer (Python/React)
Forager —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Sin título de educación superior
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Consultor Databricks Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Integration Engineer (Hybrid)
Acute Talent —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
Postulación rápida
Analytics Associate Director, GOC
WPP Media —Ciudad de México, CDMX
- Azure
- Administración de personal
- DevOps
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Consultor Snow Flake Senior
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- DevOps
Postulación rápida
Node.js Full Stack Developer
Xideral —Ciudad de México, CDMX
- Home Office (Desde casa)
- DevOps
- Mantenimiento
- SQL
- Seguro dental
- Seguro de vida
Postulación rápida
Success Architect - Sales Cloud
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Salesforce
Software Engineer, Privacy
Lyft —Ciudad de México, CDMX
- Inglés
- Investigación
- Java
11d
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
Senior Analyst, Forecasting
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
8d
Senior Specialist IT Solution Architect
Nestlé IT —Granada, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
8d
AI Native Data Architect
PALO IT —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Java
Postulación rápida
14d
Lead Full Stack Web Developer and Shopify Expert
Onda —Álvaro Obregón, CDMX
- $15 a $25 por hora
- Tiempo completo
- Administración de personal
- SQL
- JavaScript
Postulación rápida
Senior Clinical Data Engineer (LATAM)
Precision Medicine Group —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Senior Clinical Data Engineer (LATAM)
Precision for Medicine —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Postulación rápida
Sr Data Engineer Manager
RMx DEV S de R L de C V —Polanco IV Sección, CDMX
- Tiempo completo
- Azure
- Informática
- Experiencia en bases de datos
- Seguro de vida
Postulación rápida
20h
Marketing & Prime Finance Manager, MX Finance
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Access
- Oracle
- Inglés
19h

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Senior Full Stack Engineer (Python/React)

Forager
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Beneficios

Vacaciones adicionales o permisos con goce de sueldo

Cualificaciones

Elasticsearch
Abastecimiento
Administración de personal
React
DevOps
Respuesta a incidentes
PostgreSQL
Redis
RabbitMQ
Django
B2B
S3
TypeScript
Python

Descripción completa del empleo

At Forager.ai, we deliver premier workforce data encompassing people, contacts, organizations, jobs, and intent signals. Renowned for providing the most up-to-date and accurate lead generation data on the market, our solutions empower cutting-edge recruiting and sales platforms, AI-driven models, custom audience creation, and much more. With seamless delivery through APIs, data feeds, and CRM integrations, Forager.ai ensures our customers access the data they need, when and how they need it.

Why Join Us Now

There’s never been a better time to join Forager.ai. We’re experiencing rapid growth, driven by the increasing demand for our high-quality data solutions. To keep pace, we’re enhancing the way we deliver value to our customers by developing new features, integrations, and scalable infrastructure. We’re seeking a Senior Full Stack Engineer to help drive the evolution of our platform—building robust web applications, APIs, and data systems that power our products. Be part of an exciting phase of innovation and help launch groundbreaking data products into their next chapter of success.

This role is a global opportunity that requires a 4 hour overlap with US Mountain Time

What You'll Build

Build and operate the systems that deliver Forager.ai's people and organization data to platform customers at scale — customer-facing apps, large-scale data pipelines, and search infrastructure. These are the surfaces we win competitive bakeoffs on and retain customers through, the foundation of our "Data Quality Championship Belt."

Real-time enrichment APIs — person/org lookup, contact data, reverse search for waterfall platforms. Match rate, latency, and freshness drive renewals.
Bulk data feed delivery — maintain the Snowflake service delivering billions of data points daily to Data Feed customers.
Elasticsearch search infrastructure — indexing, query design, relevance tuning, and cluster scaling for person/company search and filtering APIs.
ETL pipelines — workers, task queues, and transformations moving data into APIs and feed exports.
Customer-facing web app and developer experience — React/TypeScript app, docs, onboarding flows, and self-serve surfaces.
Compliance and observability — data-sourcing proofs, GDPR/PII handling, and scoreboard metrics for each Data Quality dimension.

Core Responsibilities

Product & Application Development

Build and maintain Forager's customer-facing web app (React, TypeScript, Django/Python).
Implement and maintain RESTful APIs for integrations, feeds, and platform customer workflows.
Develop scalable backend services — workers, task queues, data pipelines — that keep refresh cycles predictable and fill rates high.
Participate actively in product planning; help shape which features have the highest customer impact.

Search, Data Layer & ETL

Build and operate Elasticsearch indices for people/company search — schema, ingestion, relevance, scaling.
Design and operate ETL applications moving data into searchable stores, feeds, and warehouses (Snowflake, S3).
Optimize PostgreSQL — query performance, indexing, cache utilization.
Drive measurable improvements in latency, uptime, error rate, and scalability.

DevOps & Infrastructure

Own day-to-day AWS infrastructure (ECS, S3, etc.) alongside DevOps.
Operate CI/CD, observability (Grafana, CloudWatch, Sentry), and on-call response for the surfaces you build.
Share crawler infrastructure maintenance with the team.

Collaboration & Quality

Code review with high standards for readability, security, and performance.
Write unit, integration, and E2E tests — test reliability is a quality contributor, not overhead.
Document features, architecture, and API contracts; great developer docs are how our customers succeed.

Requirements

Required Experience

5+ years building and operating production web applications and APIs.
Strong proficiency in Python / Django and React / TypeScript .
Hands-on experience operating Elasticsearch at scale — schema design, query tuning, cluster management.
Production experience with PostgreSQL , Redis , and async task systems ( Celery / RabbitMQ or equivalent).
Demonstrated track record building and operating ETL pipelines that move significant data volumes reliably.
Comfortable with AWS (ECS, S3, CloudWatch) and CI/CD pipelines (GitHub Actions or equivalent).
Experience operating services in production — observability, on-call, incident response.
Strong written communication; comfortable owning documentation as a deliverable.

AI & Agentic Workflows (Required)

This is non-negotiable. You must demonstrate strong, hands-on fluency with:

AI coding tools (Claude Code, Cursor, Copilot, or equivalent) used daily for implementation, refactoring, and code review.
Agentic workflows — designing, orchestrating, and debugging multi-step agent pipelines (e.g., research plan implement verify loops, MCP server integration, tool-use design).
Judgment about where AI helps vs. hurts — knowing when to delegate to an agent, when to write the code yourself, and how to keep an agent on rails for production work.

We evaluate this in interviews with live exercises. Candidates without demonstrable agentic workflow experience will not be considered.

Nice to Have

Experience with Snowflake or other data warehouses.
Background in B2B data products — enrichment, contact data, company data, search/discovery.
Experience with web crawling, data sourcing, or large-scale ingestion systems.
Open-source contributions or public technical writing.

Benefits

Remote first culture.
Unliminted PTO.

Competitive salary and benefits package.
Work in a fast-paced, collaborative, and supportive environment.
Opportunity to grow and advance your career.
Opportunity to be on the ground floor of a fast-growing startup.

Postulación rápida

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data engineer etl empleos en sector popular cdmx

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Senior Specialist IT Solution Architect

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Lead Full Stack Web Developer and Shopify Expert

Senior Clinical Data Engineer (LATAM)

Senior Clinical Data Engineer (LATAM)

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