7 publicaciones de empleo destacadas de handler en mexico (¡Están contratando!)

Sr Data Engineer (Databricks)
Nexaminds —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- SQL
- Python
Postulación rápida
Python Cloud Software Engineer - Ansible, Terraform, Kubernetes - MX
Whitestack —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
Field Application Engineer
Teradyne —Zapopan, Jal.
- Inglés
- Java
- C++
Go Cloud Software Engineer - Ansible, Terraform, Kubernetes - MX
Whitestack —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
Material Handler / Auxiliar de Almacen
GXO Opportunity —Apodaca, N. L.
- Almacén
Postulación rápida
Auxiliar de Almacen
GXO Opportunity —Tlaquepaque, Jal.
- Almacén
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AI Engineer
Million Dollar Sellers —México
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- JavaScript
- Python
- Programa de referidos
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Sr Data Engineer (Databricks)

Nexaminds
Guadalajara, Jal.

Postulación rápida

Información del empleo

Beneficios

Opciones sobre acciones

Cualificaciones

Azure
Spark
Git
SQL
Programación orientada a objetos
Scala
Python

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.

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.

Nexaminds is looking for a Senior Data Engineer to lead the development, optimization, and scaling of our data solutions. The ideal candidate has hands-on expertise building end-to-end pipelines on Databricks and enjoys working in a fast-paced, highly collaborative environment.

Qualifications we are looking for:

5+ years Data Engineering in production Azure environments — Python, SQL, Spark
Python: production-grade OOP, config-driven design, no hardcoding, type annotations
PySpark / Spark: DataFrames, schema enforcement, partitioning, performance tuning
SQL: advanced window functions, CTEs, incremental load patterns, Delta Lake DML (MERGE, UPDATE, DELETE)
Azure Data Factory: parameterised pipelines, linked services, triggers, IR configuration
Azure Databricks: notebooks, Jobs API, DLT, cluster configuration, Unity Catalog access
ADLS Gen2, Delta Lake / Parquet format, Medallion store patterns
Testing discipline: pytest, unit and integration tests, data quality assertions
Git: feature branching, PR workflow, commit discipline, code review

Nice to have:

Scala: Spark Dataset API, typed transformations, sbt build tooling
Healthcare data formats: EDI X12 (837/835/834), FHIR R4 resource parsing
Delta Lake: schema evolution, time travel, OPTIMIZE, VACUUM, Z-ordering
dbt (data build tool) for SQL transformation layering and lineage documentation
Databricks Asset Bundles (DABs) for pipeline-as-code deployment
DP-203 Azure Data Engineer Associate certification

Job duties:

Design and build the core reusable ingestion engine in Python and ADF — parameterised, config-driven, zero hardcoding
Build Python ingestion modules: file readers, schema validators, format handlers (CSV, EDI X12, FHIR R4, Parquet, JSON)
Implement PySpark / Scala transformation components for batch and streaming at scale on Azure Databricks
Write config-driven SQL data models for Bronze, Silver, Gold medallion transformations
Develop metadata-driven validation layer: null checks, type enforcement, range rules, referential integrity
Build reusable utility libraries: logging, error handling, retry logic, dead-letter routing
Implement Databricks notebooks and DLT (Delta Live Tables) pipelines for declarative transformations
Build and maintain the onboarding template library v1 and v2 — parameterised, documented, production-ready
Onboard Provider, Claims, Member, Eligibility, and Reference data domains using the framework
Write unit tests, integration tests, and data contract tests (pytest, Great Expectations or equivalent)
Optimise Spark jobs: partitioning, caching, broadcast joins, Z-ordering on Delta tables
Participate in code review, follow GitHub branching standards, and contribute to documentation

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!

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Sr Data Engineer (Databricks)

Python Cloud Software Engineer - Ansible, Terraform, Kubernetes - MX

Field Application Engineer

Go Cloud Software Engineer - Ansible, Terraform, Kubernetes - MX

Material Handler / Auxiliar de Almacen

Auxiliar de Almacen

AI Engineer

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