20 publicaciones de empleo destacadas en sr data engineer (aws) (¡Están contratando!)

Sr Data Engineer (AWS)
Nexaminds —Desde casa
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- SQL
Postulación rápida
Senior AWS Data Engineer
ON.energy —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Informática
- SQL
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $65,400 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Senior Data Engineer & Cloud (AWS)
GOODS & SERVICES —Desde casa
- Home Office (Desde casa)
- Administración de personal
- DevOps
- SQL
Sr Data Engineer (LATAM Remote)
UP.Labs —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
Sr Product Support Engineer
Meltwater Group —Ciudad de México, CDMX
- Incluye fines de semana
- Inglés
- Maestría
- Experiencia en bases de datos
Sr. Devops Engineer
Monks —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Informática
- DevOps
Postulación rápida
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
Senior Systems Engineer
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Java
- Experiencia en bases de datos
Sr. Software Engineer (Mexico/Remote)
Neumo Holdings LLC —Guadalajara, Jal.
- Tiempo completo
- Home Office (Desde casa)
- Informática
- Experiencia en bases de datos
- Licenciatura
Postulación rápida
5d
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
Sr. Data Center Engineer
BSL-LIM Mexico —Jalisco, Jal.
- Tiempo completo
- Azure
- Administración de personal
- Experiencia en bases de datos
Postulación rápida
Principal Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $80,000 a $94,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
SRE Sr. Engineer
NTT Ltd —Guadalajara, Jal.
- Azure
- Informática
- DevOps
Sr. Data Engineer
Corning —Reynosa, Tamps.
- Azure
- Informática
- Experiencia en bases de datos
22h
Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
- Experiencia en bases de datos
- SQL
2d
Sr. Cloud Engineer
BSL-LIM Mexico —Estado de México, Méx.
- Tiempo completo
- Azure
- DevOps
- Linux
Postulación rápida
Senior QA Automation Engineer - Java / Selenium / AWS
3Pillar —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Oracle
- Administración de personal
- Informática
- Seguro de vida
Senior Engineer – Observability Engineering
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Informática
- Maestría
Postulación rápida
Senior Data Engineer
Nexaminds —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
Postulación rápida

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Sr Data Engineer (AWS)

Nexaminds
Desde casa

Postulación rápida

Información del empleo

Beneficios

Opciones sobre acciones

Cualificaciones

Inglés
Experiencia en bases de datos
SQL
PostgreSQL
Kafka
Gestión de identidades y accesos

Descripción completa del empleo

Unlock Your Future with Nexaminds!

At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.

Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.

Nexaminds is looking for a Senior Data Engineer to lead the development, optimization, and scaling of critical data solutions and migration initiatives. The ideal candidate has hands-on expertise building production-grade ingestion and transformation pipelines across operational and analytical systems, and enjoys working in a fast-paced, highly collaborative environment. This role is highly execution-focused, with strong ownership of data correctness, operational reliability, and scalable modernization efforts across AWS, Snowflake, event-driven architectures, and operational databases.

Location: MEXICO

Eligibility Notice This position is only open to candidates who are Mexican citizens currently residing in Mexico. Applications from candidates who do not meet this legal and operational requirement will not be considered. We appreciate your interest and encourage you to apply to roles that match your location.

Qualifications we are looking for:

7+ years of experience in data engineering roles delivering production systems, including operating and troubleshooting pipelines in live environments.
Strong SQL skills and experience modeling data for analytics and operational reporting.
Hands-on experience with Snowflake including transformations, backfills, and performance- aware querying.
Strong experience with Postgres or similar operational databases including schema design, bulk loading strategies, and migration concepts.
Experience with streaming/event-driven systems Kafka or equivalent), including understanding topic semantics, consumer lag/backpressure, and safe reprocessing.
Experience building robust batch processes including retries, throttling, idempotency, and operational monitoring.
Demonstrated track record of creating data quality, reconciliation, and auditability controls.
Comfort working in AWS environments and collaborating on IAM and permissions boundaries.
Ability to collaborate across functions and communicate status, risk, dependencies, and decisions clearly.
Advanced English communication skills are required.

Job duties:

Own and deliver production-grade ingestion and transformation pipelines across operational and analytical systems.
Design and run bulk data onboarding and backfills with batching, monitoring, idempotency, and rollback plans.
Establish and execute data quality and validation practices including automated checks, anomaly detection, reconciliation reporting, and provenance/auditability.
Support event-driven data correctness by validating Kafka semantics, consumer behavior, and downstream dependencies during batch operations and migrations.
Build migration tooling and safety rails for datastore and API migrations including parity checks, cutover sequencing, and rollback validation.
Partner with Platform/SRE to ensure production operations are safe, observable, and supportable.
Produce clear artifacts for stakeholders including runbooks, cutover checklists, validation results, and post-mortem follow-ups when needed.

What you can expect from us

Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.

Stock options

Benefits above the law
But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
You'll have access to mentorship and tons of opportunities to learn and level up.

Ready to embark on this journey with us? If you're feeling the excitement, go ahead and apply!

Postulación rápida

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