20 publicaciones de empleo destacadas en engineering and quality data engineer (¡Están contratando!)

Data Engineer
People Trust —Desde casa
- $35,000 a $45,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
Postulación rápida
AI Systems Engineer - Part-time
Bloom Digitals —Desde casa
- $17,000 por mes
- Medio tiempo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Análisis de datos
Postulación rápida
Sr. Full Stack Engineering
Bizee Powered by Incfile —Puerta Aqua, Jal.
- $50,000 a $60,000 por mes
- Tiempo completo
- Informática
- Inglés
- Java
- Estacionamiento gratuito
- Descuento de gimnasio
Postulación rápida
Machine Learning Engineer
Key Prediction —Ciudad de México, CDMX
- $40,000 a $45,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- Maestría
Postulación rápida
Aeronautical Engineer – Engineering Projects & Technical Documentation
JANA Engineering Services de Mexico. —Colinas del Cimatario, Qro.
- Tiempo completo
- Mantenimiento
- Inglés
- Licenciatura
Postulación rápida
6d
Machine Learning Engineer / Data Scientist
Fusemachines —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Análisis de datos
- SQL
Quality Engineer
Monster Energy LATAM —Ciudad de México, CDMX
- Microsoft Office
- Licenciatura
- Uso de computadora
Postulación rápida
Quality Engineer
CaliBaja Manufacturing —Mexicali, B.C.
- $24,320 a $30,000 por mes
- Tiempo completo
- AutoCAD
- Administración de personal
- CAD
- Días por enfermedad
Postulación rápida
Senior Fullstack Engineer / Team Lead
Codigo MX, Inc —Desde casa
- $100,000 a $120,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Análisis de datos
Postulación rápida
Data Scientist/Engineer - Early Career
Shift Technology —Ciudad de México, CDMX
- Tiempo completo
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $35,000 a $46,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- SQL
Postulación rápida
10d
Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting —Saltillo, Coah.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
Process Engineer
LS Cable & System —Santa María Magdalena, Qro.
- $20,000 a $30,000 por mes
- ERP systems
- Inglés
- Licenciatura
- Ayuda o servicio de transporte
Postulación rápida
Data Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- Tiempo completo
- SQL
- Licenciatura
- Python
Postulación rápida
Software Engineers for a Fully Remote (Contract/Freelance)
Andovar —Desde casa
- $520 por hora
- Home Office (Desde casa)
- Java
- JavaScript
- Python
- Trabajo desde casa
Postulación rápida
Process Engineer (Data Analytics)
PPG —San Juan del Río, Qro.
- Tiempo completo
- ERP systems
- Inglés
- Mejora continua
Postulación rápida
Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- $600,000 a $1,200,000 por año
- Tiempo completo
- Licenciatura
- Python
Postulación rápida
Supplier Quality Engineer
Axillon Aerospace, Inc. —Saltillo, Coah.
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Postulación rápida
Engineering and Quality - Lead Data Engineer
Fitch Group —Monterrey, N. L.
- Administración de personal
- DevOps
- SQL
- Permiso de maternidad y paternidad
Azure Engineer
Sealed Air —Edo. de México
- Azure
- SQL
- Python

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Data Engineer

People Trust -
Desde casa

Postulación rápida

Información del empleo

Tiempo completo
$35,000 a $45,000 por mes

Cualificaciones

Modelado de datos
Azure
Informática
Big data
DevOps
Spark
Microsoft SQL Server
Sin necesidad de experiencia
Sistemas de información
Java
Experiencia en bases de datos
SQL
Licenciatura
JavaScript
Seguridad
Apache
Kafka
SSIS

Descripción completa del empleo

Position Title: Data Engineer

Client Company: Ascend Learning

Location: Remote (Work@Home)

Schedule: 9:00 am to 6:00 pm CST, M-F except for USA National Holidays

Duration: Full-Time

Company Background:

A leading provider of technology-based educational, curriculum, and assessment solutions for the healthcare industry and other vocational fields. Renowned for delivering solutions that result in higher-performing student results at a lower cost, from nursing to allied health and fitness training to OSHA compliance training and insurance. Employs more than 900 employees in 35 states. Customers range from schools of nursing to institutions of higher education, corporate health, and wellness organizations, and major Fortune 500 insurance companies.

Position Summary:

We are seeking a highly skilled and detail-oriented Data Engineer to join our data team. This role is focused on designing, building, and optimizing scalable data pipelines and data warehousing solutions. The ideal candidate will have strong experience in ETL processes, real-time data streaming, and cloud-based data platforms, ensuring that data is accurate, reliable, and accessible across the organization.

This position plays a critical role in supporting business intelligence, analytics, and data-driven decision-making initiatives.

Responsibilities:

Design, build, and maintain robust, scalable, and secure data pipelines and data workflows.
Develop and manage ETL/ELT processes for ingesting, transforming, and loading data from multiple sources (databases, APIs, cloud services, and third-party systems).
Build and optimize data integration solutions using tools such as Azure Data Factory, SSIS, and Kafka.
Implement real-time and batch data processing solutions, leveraging Kafka and streaming technologies.
Design, develop, and optimize data warehouse solutions, including schema design and data modeling.
Collaborate with data analysts, data scientists, and business stakeholders to translate data requirements into scalable technical solutions.
Optimize data architecture for performance, scalability, and reliability across cloud environments.
Ensure data quality, consistency, and integrity through validation, monitoring, and cleansing processes.
Work with RESTful APIs to enable seamless system and data integrations.
Maintain comprehensive documentation of data flows, architectures, and operational procedures.
Implement and adhere to best practices in data governance, security, and compliance.

Required Skills & Experience:

6+ years of experience in a data engineering role with a strong focus on data warehousing and ETL processes.
Strong expertise in SQL Server and Snowflake, including data modeling, complex SQL development, and performance tuning.
Hands-on experience building ETL pipelines using Azure Data Factory, SSIS, and Kafka.
Strong experience with real-time data processing and streaming technologies, particularly Kafka.
Solid understanding of data warehouse design, data modeling, and database best practices.
Proficiency in Java for scripting and automating data workflows.
Hands-on experience with Azure Cloud Services, including Azure Data Factory and Azure SQL Database.
Experience integrating systems using RESTful APIs.
Strong understanding of cloud infrastructure, automation, and security best practices.
Ability to work with large-scale datasets and optimize data processing workflows.
Strong analytical and problem-solving skills with high attention to detail.
Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field—or equivalent practical experience.

Desired Skills & Experience (Not required but considered a plus):

Experience with additional data orchestration tools such as Apache NiFi or Prefect.
Familiarity with big data processing frameworks (e.g., Apache Spark).
Knowledge of data governance, privacy regulations (e.g., GDPR), and compliance standards.
Exposure to DevOps practices and Infrastructure as Code (IaC).
Relevant cloud or data engineering certifications.

Job Type: Full-time

Pay: $35,000.00 - $45,000.00 per month

Education:

Bachelor's (Required)

Experience:

Data Engineering: 6 years (Required)
SQL Server and Snowflake: 6 years (Required)
Kafka: 6 years (Required)
Java: 3 years (Required)
integrating systems using RESTful APIs: 1 year (Required)

Work Location: Remote

Postulación rápida

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Process Engineer (Data Analytics)

Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund

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