20 publicaciones de empleo destacadas de data scientist en cdmx (¡Están contratando!)

Databricks Engineer
RevStar —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
9d
Staff Data Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Informática
- DevOps
Postulación rápida
1d
Senior Analyst, Forecasting
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
AI DI Engineering Manager - Mexico City
ailylabs —Ciudad de México, CDMX
- Experiencia en ventas
- Liderazgo
Postulación rápida
Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Python
Postulación rápida
Gerente de Construcción SR
AECOM —Ciudad de México, CDMX
- Tiempo completo
- Mantenimiento
- Inglés
- Experiencia en construcción
- Plan de adquisición de acciones empresariales
- Seguro dental
ELN Analyst (Benchling)
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Maestría
- Licenciatura
Postulación rápida
Project Manager - Satellite Gateway Infrastructure
AST SpaceMobile —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Licenciatura
Senior Full Stack Engineer – Registration New
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
1d
Senior Analyst, Demand Planning & Analytics
DoorDash Mexico —Ciudad de México, CDMX
- Microsoft Excel
- Inglés
- SQL
Postulación rápida
Cement Solution Manager
Imubit —Ciudad de México, CDMX
- Home Office (Desde casa)
- Maestría
- Licenciatura
- Sin título de educación superior
9d
BCG Platinion | Senior AI Tech Architect - AI Platforms
Boston Consulting Group —Ciudad de México
- Tiempo completo
- Azure
- Administración de personal
- Inglés
Clinical Scientist in CNS - LATAM
IQVIA —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Maestría
Machine Learning Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
AMS Functional Consultant – SAP MM / SAP FI / SAP SD
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Inglés
Senior Software Development Engineer
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. - D44 —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Java
Sr. Financial Analyst, MX Marketing and Prime Finance
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Access
- Oracle
- Inglés
Staff Software Engineer - Data Processing & Execution Platform
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Administración de personal
- Informática
Machine Learning Engineer - Fraud
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Inglés
- Experiencia en bases de datos
- Seguro dental
- Seguro de la vista
Fullstack AI Software Engineer - LATAM
Futureproofing —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- JavaScript
- Python

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Databricks Engineer

RevStar -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 9 días

Beneficios

Seguro dental
Vacaciones adicionales o permisos con goce de sueldo
Seguro de la vista

Cualificaciones

Modelos de inteligencia artificial
Azure
Big data
DevOps
Spark
Google Cloud Platform
SQL
Licenciatura
Seguridad
S3
Apache
Kafka
Python

Descripción completa del empleo

Reports To: Data & AI Practice Lead
Location: Remote (US-Based / Eastern or Central Time Zone Preferred)
Employment Type: Contract

Ready to build greenfield Lakehouse solutions at the bleeding edge of AI and big data? RevStar is an innovation shop and official Databricks Partner launching a dedicated, cloud-agnostic Data, ML, and AI practice. We are seeking a high-caliber Databricks Engineer to build, optimize, and deploy high-performance data pipelines and MLOps frameworks for enterprise clients across AWS, Azure, and GCP. In this role, you will work directly with data architects, scientists, and client leaders to turn complex data into scalable, production-ready AI models. Above all, the ideal candidate embodies RevStar’s core values:

Self-Mastery: We hold a high bar for how we think, communicate, and improve.

Ownership: We own outcomes, not just effort.

Shared Destiny: We rise or fall together.

Your Impact Pillars

Your technical contributions are organized into four strategic pillars:

1. Lakehouse Architecture & Pipeline Engineering

Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across multi-cloud environments (AWS S3, Azure Data Lake, GCS).
Implement robust Lakehouse architectures that seamlessly process both structured and unstructured data at enterprise scale.
Automate data ingestion and storage workflows to support downstream analytics and real-time operational reporting.

2. Performance Optimization & Automation

Fine-tune Spark jobs for low latency, high throughput, and maximum cloud cost-efficiency.
Implement CI/CD pipelines and Infrastructure-as-Code (Terraform, Databricks CLI) for automated deployments.
Build automated monitoring, alerting, and data quality validation frameworks to guarantee pipeline reliability.

3. MLOps & AI Integration

Partner with ML engineers and data scientists to build production-grade feature engineering pipelines.
Support model training, tracking, versioning, and deployment inside Databricks using MLflow.
Operationalize AI/ML models into secure, scalable production environments for client applications.

4. Data Governance & Client Excellence

Enforce enterprise data security, access controls, and compliance standards (GDPR, HIPAA, SOC 2).
Establish best practices for data lineage, metadata management, and operational documentation.
Collaborate with client-facing stakeholders to align technical implementations with critical business outcomes.

Requirements

Must-Have:

3+ years of hands-on experience in data engineering, with a focus on big data processing and cloud-native architectures.
2+ years of hands-on experience with Databricks, including Apache Spark, Delta Lake, and MLflow.
Databricks Certifications (Mandatory):
- Databricks Certified Data Engineer Associate (or higher)
Proficiency in Python, SQL, and Spark-based frameworks.
Experience in developing and optimizing large-scale ETL/ELT pipelines.
Strong understanding of Lakehouse architecture and cloud-agnostic data solutions.
Familiarity with CI/CD pipelines and Infrastructure-as-Code (IaC) for Databricks (e.g., Terraform, Databricks CLI).
Knowledge of data governance, security, and compliance best practices.
Experience working in Agile development environments, following DevOps/MLOps best practices.

Nice-to-Have:

Additional Databricks Certifications (e.g., Databricks Certified Machine Learning Associate).
Experience with real-time streaming solutions (e.g., Kafka, Kinesis, Event Hub).
Familiarity with cloud storage and orchestration tools (e.g., Apache Airflow, Prefect).
Background in AI/ML integration within Databricks, assisting in feature engineering and model deployment.
Experience working in client-facing roles or consulting environments.

Benefits

Benefits for Full-Time W2 Positions:

Paid Time Off – Take the time you need to recharge and stay productive.
Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
Comprehensive Health Coverage – Medical, Dental, Vision
401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program.
Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.
Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.
Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
Company Outings & Volunteer Opportunities – Build relationships and give back to the community.
Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.

Equal Opportunity Employment

At RevStar, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.

Reasonable Accommodations

RevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at [email protected].

Postulación rápida

Refina tu búsqueda

data scientist empleos en cdmx

Databricks Engineer

Staff Data Engineer

Senior Analyst, Forecasting

AI DI Engineering Manager - Mexico City

Forward Deployed Engineer Intern

Gerente de Construcción SR

ELN Analyst (Benchling)

Project Manager - Satellite Gateway Infrastructure

Senior Full Stack Engineer – Registration New

Senior Analyst, Demand Planning & Analytics

Cement Solution Manager

BCG Platinion | Senior AI Tech Architect - AI Platforms

Clinical Scientist in CNS - LATAM

Machine Learning Platform Engineer

AMS Functional Consultant – SAP MM / SAP FI / SAP SD

Senior Software Development Engineer

Sr. Financial Analyst, MX Marketing and Prime Finance

Staff Software Engineer - Data Processing & Execution Platform

Machine Learning Engineer - Fraud

Fullstack AI Software Engineer - LATAM

Quiero recibir la alerta de empleo más reciente para data scientist en cdmx

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