14 publicaciones de empleo destacadas de ai testing analytics en ciudad de méxico, dif (¡Están contratando!)

Forward Deployed Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- SQL
- Python
Postulación rápida
Business Optimization Manager - Payments
PPRO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- Análisis de datos
- Inglés
- Seguro dental
- Descuento de gimnasio
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
3d
Associate Director, Business Optimization - Payments
PPRO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Análisis de datos
- Inglés
- Licenciatura
- Seguro dental
- Descuento de gimnasio
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
3d
Strategy & Consulting - Global Network - Industry X - Data Migration or Cost Optimization Consultant
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Azure
- Oracle
Account Executive - Microsoft Advertising
Aleph Holding —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Experiencia en ventas
Senior Penetration Tester & Red Team Operator
PepsiCo —Miguel Hidalgo, CDMX
- Azure
- Administración de personal
- Inglés
Senior Paid Social Manager
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- CAD
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Senior Security Infrastructure Engineer
Sezzle —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Linux
Performance Marketing Specialist (CDMX)
TransPerfect —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Licenciatura
Postulación rápida
Security & Business Resilience Global Program Specialist
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Administración de personal
- Maestría
- Licenciatura
Postulación rápida
14d
Consulting Engineering Sr Manager Sales Lead Mexico
DXC Technology —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Inglés
- Maestría
9d
Data Architect
BMC Software —Ciudad de México, CDMX
- Azure
- Salesforce
- SQL
4h

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Forward Deployed Engineer

Arkham Technologies
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

SQL
JDBC
Requisitos comerciales
Python

Descripción completa del empleo

Forward Deployed Engineer

About Arkham:

Arkham is a Data & AI platform that helps large enterprises:

Unify fragmented systems and data
Build a single source of trusted operational metrics
Solve complex challenges with AI tailored to their operations

Teams at Circle K and Kimberly-Clark partner with us to deploy AI-powered solutions for sell-out forecasting, pricing and promo analysis, and automated order assignment. With Arkham, they achieve high-impact results fast, creating a strong foundation for long-term AI transformation.

Know more about Arkham:

Our website
Youtube Channel
Medium blog

About the Role

Our implementation model is built around two core roles:

Forward Deployed Engineer
Forward Deployed Data Scientist

As a Forward Engineer, you'll be the technical bridge between Arkham's Data Sync platform and our clients. Your primary focus is building the connectors that make data flow — REST APIs & JDBC/ODBC, — using frameworks like dlt, Airbyte, and Meltano (desired but not mandatory). But unlike a purely internal engineering role, you'll own the full implementation cycle: working directly with client teams to understand their data landscape, then building and deploying the connectors that unlock it.

You'll manage 3-4 client implementations at a time, moving fast from discovery to production while keeping your connector work reusable and scalable across engagements.

What You’ll Work On

Build and Own Data Connectors

Design and implement connectors for diverse data sources including:
REST APIs
JDBC / ODBC databases
Flat files and object storage
Custom ingestion scripts

Every connector should prioritize reusability, configurability, and scalability.

Lead Client Implementations End-to-End

Own the data integration process from initial discovery to production deployment.

This includes:

Understanding the client’s data architecture
Defining integration requirements
Building connectors
Deploying them into Arkham’s platform

Most integrations are expected to reach production within 2–4 weeks.

Design Robust Integration Architecture

Create adapter and abstraction layers that standardize how connectors handle:

Authentication mechanisms
Pagination and incremental syncs
Rate limits
Error handling and retries
Schema normalization

Your goal is to ensure connectors behave consistently across systems.

Work Directly With Client Technical Teams

Collaborate with engineering and data teams to:

Understand source systems
Map and validate data flows
Ensure outputs align with business requirements

You’ll translate real-world operational systems into clean, reliable data pipelines.

Build Analytics-Ready Data Pipelines

Write clean SQL and design transformations that produce high-quality datasets ready for analytics and AI workflows.

Your pipelines should be:

Correct
Observable
Maintainable
Scalable

Improve the Connector Library

Each integration should strengthen Arkham’s platform.

You’ll contribute reusable patterns and improvements back to the shared connector framework so that every engagement accelerates the next one.

What We RequireExperience

2+ years of backend or data engineering experience
Strong Python programming skills
Hands-on experience building REST API integrations
Solid SQL and relational database fundamentals

Communication & Ownership

You should be comfortable:

Explaining technical work to technical and non-technical stakeholders
Working in client-facing environments
Owning integrations from problem definition to production

This role requires engineers who take responsibility for outcomes, not just code.

Technical Environment

Experience with cloud environments is expected.

Preferred:

AWS

Bonus Skills

Nice-to-have experience includes:

CI/CD applied to data workflows
Data observability and testing frameworks
Familiarity with AI-driven analytics and Generative AI use cases
Experience with data integration frameworks such as:
- dlt
- Airbyte
- Meltano

Postulación rápida

Refina tu búsqueda

ai testing analytics empleos en ciudad de méxico, dif

Forward Deployed Engineer

Business Optimization Manager - Payments

Senior Data Scientist, DTC

Associate Director, Business Optimization - Payments

Senior Data Platform Engineer

Strategy & Consulting - Global Network - Industry X - Data Migration or Cost Optimization Consultant

Account Executive - Microsoft Advertising

Senior Penetration Tester & Red Team Operator

Senior Paid Social Manager

Senior Security Infrastructure Engineer

Performance Marketing Specialist (CDMX)

Security & Business Resilience Global Program Specialist

Consulting Engineering Sr Manager Sales Lead Mexico

Data Architect

Other jobs to consider

Quiero recibir la alerta de empleo más reciente para ai testing analytics en ciudad de méxico, dif

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