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

Data Engineer (Databricks)
Nexaminds —Guadalajara, Jal.
- Home Office (Desde casa)
- Azure
- SQL
- Python
Postulación rápida
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Databricks Data Engineer
Accenture —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Java
Data Engineer | Databricks Experience
Avnet —Tlaquepaque, Jal.
- Tiempo completo
- SQL
- Licenciatura
- Sin título de educación superior
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Databricks Data Engineer
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Inglés
- SQL
Postulación rápida
Data Engineer
PROGRAMMING.COM —Azcapotzalco, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Disponible para viajar
Postulación rápida
4d
Data Engineer Specialist (Queretaro)
PPG —Querétaro, Qro.
- Tiempo completo
- SQL
- Mejora continua
- Presencial
- Seguro de vida
Postulación rápida
Data Engineer | Power BI
HITSS —Ciudad de México, CDMX
- Hasta $45,000 por mes
- Tiempo completo
- Azure
- Oracle
- Informática
- Descuentos y precios preferenciales
- Seguro de gastos médicos
Postulación rápida
4d
Senior Data Engineer - Snowflake & Databricks
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
14d
Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $55,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
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
Data Engineer - Remoto - 2727
Xideral —Querétaro, Qro.
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
Postulación rápida
Jr. Cloud Data Engineer
Capgemini —Aguascalientes, Ags.
- Azure
- Inglés
- Experiencia en bases de datos
Senior Data Engineer
Nexaminds —Desde casa
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
Postulación rápida
Data Engineer
Dropbox —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Informática
- Java
14d
Machine Learning Engineer
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $50,000 a $85,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- Experiencia en bases de datos
Postulación rápida
Junior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Administración de personal
- Informática
4d
Data Science & Analytics Engineer
Alten México —Puebla, Pue.
- $14,000 a $16,000 por mes
- Tiempo completo
- Trabajo híbrido
- DevOps
- Desarrollo de software
- Python
Postulación rápida
1d
(2150) Data Science & Analytics Engineer
ALTEN MÉXICO —Puebla, Pue.
- Tiempo completo
- Trabajo híbrido
- DevOps
- Desarrollo de software
- Python
Postulación rápida
3d
Data Engineer Azure
Tecnología —Xoco, CDMX
- $40,000 a $45,000 por mes
- Tiempo completo
- Azure
- Inglés
- SQL
- Seguro de gastos médicos
- Seguro de vida
Postulación rápida
14d

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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 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!

Postulación rápida

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Databricks Data Engineer

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Data Engineer Specialist (Queretaro)

Data Engineer | Power BI

Senior Data Engineer - Snowflake & Databricks

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Principal Data Engineer

Data Engineer - Remoto - 2727

Jr. Cloud Data Engineer

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Machine Learning Engineer

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