20 publicaciones de empleo destacadas de observability engineer en ciudad de méxico, dif (¡Están contratando!)

Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $55,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
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- $40,000 a $50,000 por mes
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- Ingeniería
- Inglés
- SQL
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Ebury —Ciudad de México, CDMX
- Salesforce
- Inglés
- JavaScript
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iCIMS Talent Acquisition —Ciudad de México, CDMX
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Qualcomm —Ciudad de México, CDMX
- Administración de personal
- Informática
- DevOps
Senior Lead Software Engineer, AI Systems- 11509
Coupa —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Python
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Manager, Software Development
Mastercard —Ciudad de México, CDMX
- Tiempo completo
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- Oracle
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Staff Software Engineer - Mexico
Nubank —Ciudad de México, CDMX
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- Trabajo híbrido
- Inglés
- Capacitación
- Desarrollo de software
- Seguro dental
- Seguro de la vista
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Lead Software Engineer AI (Staff Engineer)
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Licenciatura
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UST —Ciudad de México, CDMX
- Azure
- Oracle
- DevOps
- Seguro de vida
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Senior Dev Ops Engineer
Peek —Ciudad de México, CDMX
- $950,000 a $1,300,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Senior Full Stack Engineer – Registration New
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Azure
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1d
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
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Staff Software Engineer, Core Infrastructure
Scribd, Inc. —Ciudad de México, CDMX
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- CAD
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Senior IT Engineer - Endpoint Engineering
Nubank —Ciudad de México, CDMX
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SoHo Dragon —Cuauhtémoc, CDMX
- Trabajo híbrido
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SDET (TESTER ) .Net Developer
Delinea —Ciudad de México, CDMX
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Senior Platform Engineer
DXC Technology —Ciudad de México, CDMX
- Oracle
- JavaScript
- Presencial

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Senior Data Engineer

NielsenIQ -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
$55,000 a $70,000 por mes

Cualificaciones

Chat en vivo
Azure
Node.js
Derecho
React
Kubernetes
Tooling
Big data
DevOps
Spark
Cifrado
NoSQL
Inglés
Google Cloud Platform
Maestría
SQL
Pandas
Licenciatura
JavaScript
Scala
Apache
Kafka
Python
Gestión de identidades y accesos

Descripción completa del empleo

Company Description

At NIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. We are looking for a Sr Data Software Engineer to join our NIQ Activate Technology team in CDMX, Mexico. This is a remote work environment.

NIQ Activate is a leading provider of AI-powered customer analytics, personalization, and brand collaboration platform. Serving dozens of retailers and brands across the world using cutting-edge Big Data, real-time analytics, and data-science automation. Our solution is disrupting existing data & media monetization models by enabling retailers to remain in control of their revenue.

Job Description

As a Data Software Engineer, you will be responsible for building new data solutions for our rapidly expanding customer base and working with the top data ingestion technologies, working with a team of amazing, diverse-minded, and bright people who make an impact, generate creative & innovative ideas, and take on new perspectives.

Responsibilities

Own end-to-end data flows from requirements and architecture through implementation and production operations, including Data acquisition, Data set acceptance criteria, and Data Science integration.
Design and build scalable batch and real-time data pipelines and lakehouse solutions with a focus on large-scale data processing.
Take responsibility to explore technologies to scale up the Data ecosystem to handle rapid Big Data growth.
Partner with Data Science to productionize ML/AI workloads and ensure smooth integration into products.
Collaborate with cloud, DevOps, application, and client teams to deliver robust, secure, and scalable solutions that solve meaningful business problems.
Evaluate and adopt new technologies and patterns to evolve the data ecosystem as scale and complexity grow.

Qualifications

3+ years of hands-on Data Engineering building and operating production-grade Data Systems and Pipelines (Data-Intensive, Distributed Processing, Databases).
B.Sc. / M.Sc. in Computer Science, Computer Engineering, or equivalent.
Proficiency in Python; working proficiency in Scala.
Strong expertise with at least one major cloud provider (AWS, Azure, or GCP).
Strong experience with Big Data processing (Spark, DataBricks) and event streaming (Kafka).
Experience with orchestration and platform tooling such as Airflow; ability to build maintainable DAGs and operationalize workflows.
Strong SQL skills and experience with data storage systems plus at least one of: Data Lake/Lakehouse, columnar DB, or NoSQL systems.
Hands-on experience with containers and Kubernetes (Helm is a plus) and modern CI/CD practices.
Familiarity with LLM workflow frameworks (LangChain/LangGraph).
Proven experience designing, building, and owning production-grade data pipelines (batch and/or streaming), including reliability, backfills, and SLA-driven delivery.
Ability to learn new technologies and work in a dynamic fast-paced environment.
Result-driven, pragmatic, and innovative.
Strong analytical skills, with an open and proactive mindset to investigate, learn, and propose solutions; highly self-driven and self-taught.
Strong English communication skills, both written and verbal.

Nice to have

Experience with Delta Lake and/or Apache Iceberg; ML lifecycle tools such as MLflow.
Experience with Pandas/Polars and building data services/APIs (e.g., FastAPI).
Experience building LLM-powered agents / chat assistants (RAG, tool/function calling, workflow or multi-agent orchestration), using modern frameworks and platforms.
Infrastructure as Code (Terraform/Pulumi/CloudFormation) and cloud security fundamentals (IAM, secrets, encryption).
Experience with observability tooling (metrics/logging/tracing) and cost/performance optimization for distributed workloads.
Experience building applications with React and Node.js.

Additional Information

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

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