11 publicaciones de empleo destacadas de data scientist en loreto 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
11d
Senior Product Manager
Belvo —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Gestión de productos
- Desarrollo de software
- Vacaciones adicionales o permisos con goce de sueldo
- Horarios flexibles
3d
Project Manager - Satellite Gateway Infrastructure
AST SpaceMobile —Ciudad de México, CDMX
- Administración de personal
- Inglés
- Licenciatura
Gerente de Construcción SR
AECOM —Ciudad de México, CDMX
- Tiempo completo
- Mantenimiento
- Inglés
- Experiencia en construcción
- Plan de adquisición de acciones empresariales
- Seguro dental
Associate Account Manager
Konovo —Ciudad de México, CDMX
- Home Office (Desde casa)
- Microsoft Excel
- Administración de personal
- Salesforce
Senior Full Stack Engineer – Registration New
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
3d
Java & API Application Support Engineer – AMS
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Oracle
- Informática
- Microsoft Office
Senior Software Engineer, Windows/Desktop Applications - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- C++
- Capacitación
Digital Media Strategist - MX
WITHIN —Ciudad de México, CDMX
- Contacto por teléfono
- Microsoft Excel
- Inglés
- Licenciatura
AI Presales
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Azure
- Doctorado
Postulación rápida
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
9d

More jobs to discover

Find similar jobs that you might be interested in.

Product Owner SR
Inetum —Ciudad de México, CDMX
Inetum es un grupo internacional de consultoría digital ágil. Con presencia en 26 países, promovemos trayectorias profesionales flexibles, innovación local y un…
Postulación rápida

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

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

data scientist jobs near loreto cdmx

Empleos de Project Manager Jr en Ciudad De México

Empleos de Procurement Manager en Ciudad De México

Empleos de Social Media Manager en Guadalajara, JAL.

Empleos de Creative Digital en Ciudad De México

Empleos de Digital Strategist en Ciudad De México

Empleos de Catalogo Digital en Ciudad De México

Empleos de Analytics Engineer en Ciudad De México

Empleos de Software Engineer en Irapuato, GTO.

Empleos de Data Engineer en Monterrey, N. L.

Empleos de De Data Center en Querétaro, QRO.

Empleos de Data Engineer en Guadalajara, JAL.

Empleos de Desarrollador Software en Guadalajara, JAL.

Empleos de Quality Engineer en Monterrey, N. L.

Empleos de Senior Software Engineer en Ciudad De México

Empleos de Senior Software Engineer en Tijuana, B.c.

Empleos de Data Analytics en Ciudad De México

Empleos de Junior Data Analyst en Ciudad De México

Empleos de Senior Data Analyst en Ciudad De México

Empleos de Senior Data Scientist en Miguel Hidalgo, CDMX

Empleos de Account Manager en Guanajuato

Databricks Engineer

RevStar -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 11 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 loreto cdmx

Databricks Engineer

Senior Product Manager

Project Manager - Satellite Gateway Infrastructure

Gerente de Construcción SR

Associate Account Manager

Senior Full Stack Engineer – Registration New

Java & API Application Support Engineer – AMS

Senior Software Engineer, Windows/Desktop Applications - Mexico City, Mexico

Digital Media Strategist - MX

AI Presales

Senior Data Scientist, DTC

More jobs to discover

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

Related Searches

Explorar empleos en más ubicaciones

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado