20 publicaciones de empleo destacadas en mcip data analytics, tools, process 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
Data Engineer (Azure) - Remote, Latin America
Bluelight Consulting —Culiacán, Sin.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
Automation Engineer
Viva Global —Desde casa
- $30,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Java
- Experiencia en bases de datos
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
14d
Senior Data Engineer (Platform)
Globalli —Desde casa
- Home Office (Desde casa)
- Administración de personal
- SQL
- Python
Postulación rápida
8d
Senior Data Engineer - Snowflake & Databricks
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
9d
Senior Power BI Developer – Manufacturing Analytics
Learntastic —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- ERP systems
Postulación rápida
Data Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- Tiempo completo
- SQL
- Licenciatura
- Python
Postulación rápida
Machine Learning Engineer / Data Scientist
Fusemachines —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Análisis de datos
- SQL
ETL/Data Migration Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- Inglés
MCIP Data Analytics, Tools, Process Engineer
Aptiv plc —Monterrey, N. L.
- Microsoft Excel
- SQL
- Licenciatura
- Seguro de vida
Sr. Quality Assurance Engineer
Devlane —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Inglés
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
- Horarios flexibles
Postulación rápida
Jr. Cloud Data Engineer
Capgemini —Aguascalientes, Ags.
- Azure
- Inglés
- Experiencia en bases de datos
Data Center Technician
EZSVS USA Inc. —Querétaro, Qro.
- $11,424.82 a $30,683.04 por mes
- Tiempo completo
- Mantenimiento
- Inglés
Postulación rápida
AI Engineer (LLMs, ML Pipelines, Python)
Veloz IT —Desde casa
- $55,000 a $90,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Experiencia en bases de datos
- Python
Postulación rápida
Senior Supplier Quality Engineer
NVIDIA —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Maestría
- Licenciatura
- Sin título de educación superior
Senior Data Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- Python
9d
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
13d
Process Engineer (Data Analytics)
PPG —San Juan del Río, Qro.
- Tiempo completo
- ERP systems
- Inglés
- Mejora continua
Postulación rápida
DevOps Engineer (Data & AI Platform)
Simplepractice —City, Hgo.
- DevOps
- Python
- Seguro dental
- Seguro de la vista
5d
Mid/Senior Data Engineer — Data Platforms & ERP Integration (Contract Role)
Modus Create —Desde casa
- Home Office (Desde casa)
- Oracle
- Administración de personal
- ERP systems
Postulación rápida

Quiero recibir la alerta de empleo más reciente para mcip data analytics, tools, process engineer

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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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Quiero recibir la alerta de empleo más reciente para mcip data analytics, tools, process engineer

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