13 publicaciones de empleo destacadas en ai model optimization software (¡Están contratando!)

Lead Data Engineer (Azure)
3Pillar —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
- Permiso de maternidad y paternidad
Senior, Full Stack Engineering - C1 English - Hybrid
Bizee —Zapopan, Jal.
- Tiempo completo
- Trabajo híbrido
- Informática
- Inglés
- Java
- Seguro dental
- Seguro de la vista
Postulación rápida
SAP WM Consultant
Capgemini —Aguascalientes, Ags.
- Administración de personal
- Inglés
Analista Senior, Logística Digital
Constellation Brands —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Microsoft Excel
- Administración de personal
SAP WM Consultant
Capgemini Sogeti —Aguascalientes, Ags.
- Administración de personal
- Inglés
5d
AI Software Engineer - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
AI Developer
Salvo Software —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Licenciatura
Postulación rápida
Full-Stack AI Engineer
Pavago —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en bases de datos
- SQL
- JavaScript
Postulación rápida
Data Scientist, Applied AI - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Research Engineering Automation
Teradata —México
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Maestría
- SQL
Postulación rápida
Research Engineer - UI
Teradata —México
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Licenciatura
- JavaScript
Postulación rápida
Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote
Azumo —México
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Inglés
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Engineering Manager - LATAM
AOA —México
- Home Office (Desde casa)
- Administración de personal
- Inglés
- Licenciatura
Postulación rápida

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CP&O Project & Software Controlling FP&A Analyst
Hitachi —San Luis Potosí, S. L. P.
3–5 years of experience in FP&A, project controlling, or related finance roles. Monitor project costs and identify optimization opportunities.
5d
Microsoft Fabric Engineer
Ecom Trading —Ciudad de México, CDMX
O Performance tuning and optimization. O Semantic models and shared datasets. O Enterprise BI security and access models. And also Power BI strategy.

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Lead Data Engineer (Azure)

3Pillar -
Desde casa

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Información del empleo

Tiempo completo

Beneficios

Vacaciones adicionales o permisos con goce de sueldo
Permiso de maternidad y paternidad
Seguro de vida

Cualificaciones

Desarrollo de tableros
Power BI
Azure
Inglés
SQL
Smartsheet
Seguridad
Python

Descripción completa del empleo

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI.

Lead, Data Engineer

Embark on an exciting journey into the realm of software product development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data-driven decision-making. As a Lead, Data Engineering, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.

If your passion for data engineering solutions that make a real-world impact, consider this your pass to the captivating world of Data Science and Engineering!

Key Responsibilities

Understand client requirements and lead the creation of robust data platforms leveraging Data Lakehouse architectures, serving as the primary subject matter expert for the Azure data ecosystem (Microsoft Fabric, Azure SQL, and Power BI).
Design and implement scalable data models, ETL/ELT pipelines, and analytics layers using modern cloud ecosystems.
Architect Microsoft Fabric reporting solutions, establishing medallion layering, managing capacity planning, ensuring freshness governance, and configuring CDC/mirroring from Azure SQL into Fabric.
Enforce strict data-layer segregation ensuring PII is excluded by construction, maintaining multi-tenant isolation within the analytics layer, and strictly adhering to 10+ year regulated data retention policies.
Lead complex migration efforts off legacy systems (e.g., AirTable, Smartsheet) to Microsoft Fabric, effectively managing mid-program form and rule drift, and establishing reliable, per-client export channels.
Lead end-to-end analytics projects — from requirement gathering to deployment.
Mentor junior team members, perform code reviews, and ensure adherence to quality standards.
Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals.
Develop and optimize complex SQL queries, Power BI semantic models, dashboards, and reports (transitioning from legacy LookML/BigQuery paradigms).
Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges.
Stay up to date with advancements in the analytics and cloud data ecosystem.
Drive innovation in reporting and analytics capabilities.
Recommend and implement new tools, frameworks, and practices to enhance the data platform.
Define best practices, coding standards, and governance for analytics projects.
Monitor data systems performance and implement optimization strategies.
Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
Build and oversee AI-ready data pipelines, focused on feeding scrubbed, segmented data to assistive AI (embeddings, vector stores, and feature stores) and integrating GenAI into analytics and data products.
Drive adoption of AI-assisted data engineering across the team: copilots for SQL/transformation/pipeline code, plus automated testing and documentation.
Define governance and quality standards for data consumed by LLMs and agents.

Minimum Qualifications

Demonstrated expertise with a minimum of 7 - 10 years of relevant experience in data engineering and business intelligence domain.
Strong primary expertise in the Azure Data Stack, specifically Azure SQL, Microsoft Fabric, and Power BI (semantic layer design, robust dashboard development), with a minimum of two years of hands-on experience in these specific tools.
Advanced SQL skills and a solid understanding of modern data architecture, including Data Lakehouse concepts, medallion architecture, star/snowflake schemas, and dimensional modeling.
Proficiency in Python for data engineering, ETL/ELT workflows, and automation tasks.
Experience designing and maintaining enterprise-grade data pipelines — specifically in Azure environments.
Proven track record of leading analytics projects and delivering scalable data solutions.
Ability to function as a player-coach — leading while also contributing hands-on.
Solid understanding of data governance, security (especially around PII and multi-tenant architectures), and performance optimization practices.
Strong communication skills and ability to translate complex technical concepts for business stakeholders.

Additional Experience Desired

Experience working with DBT
Experience working with other BI Tools
Any experience of working with Gen AI tools or technologies

Benefits

Medical Insurance benefits as per company policy.
Life Insurance as per company policy
15 days of paid vacation plus additional days based on tenure
Vacation bonus as per local law
Sick leave and paid holidays as per local law
Profit sharing as per local law
Paternity and maternity leave as per as per local law
Marriage, bereavement and graduation leaves as per company policy
Christmas bonuses as per local law
Work from home allowance as per company policy
Punctuality and attendance bonuses as per company policy
Food tickets as per company policy
Direct deposit of payroll.
Paid professional certifications

What is it like working for 3Pillar Global?

At 3Pillar, we offer a world of opportunity:

Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach.
You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams.
We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.
We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.

Join us and be a part of a global tech community! \uD83C\uDF0D\uD83D\uDCBC Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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ai model optimization software empleos

Lead Data Engineer (Azure)

Senior, Full Stack Engineering - C1 English - Hybrid

SAP WM Consultant

Analista Senior, Logística Digital

SAP WM Consultant

AI Software Engineer - Remote

AI Developer

Full-Stack AI Engineer

Data Scientist, Applied AI - Remote

Research Engineering Automation

Research Engineer - UI

Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote

Senior Engineering Manager - LATAM

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