5 publicaciones de empleo destacadas de data engineer en 2 de octubre cdmx (¡Están contratando!)

Sr. Data Engineer
Coca-Cola —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Java
22h
Acceleration Center - Data Engineer - Manager
PwC —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Análisis de datos
- Inglés
12h
Academia Data Engineering Semi Sr. Snowflake - Databricks | Remote 2748
Xideral —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- SQL
- Licenciatura
Postulación rápida
Senior Clinical Data Engineer (LATAM)
Precision Medicine Group —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Senior Clinical Data Engineer (LATAM)
Precision for Medicine —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Inglés
- SQL
Postulación rápida

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Industrial Engineer
Dover Corporation —Ciudad de México, CDMX
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Sr. Data Engineer

Coca-Cola -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 22 horas

Cualificaciones

Azure
Big data
DevOps
Spark
Git
Google Cloud Platform
Java
JavaScript
Scala
Apache
Maven
Debugging
Hadoop

Descripción completa del empleo

At The Coca‑Cola Company, we believe data is the foundation for creating personalized experiences and powering sustainable growth in today’s digital-first world. As consumers engage with our brands in more connected ways than ever before, we are investing in advanced data and analytics platforms to unlock deeper insights, accelerate decision-making, and enable seamless innovation at scale.

In this role as a Sr. Data Engineer, you will play a critical part in shaping how data flows across our enterprise ecosystem. By leveraging your deep expertise in Spark, Scala development, and JVM-based engineering, you will design and implement integration frameworks that power both batch and streaming workloads on Microsoft Fabric and Synapse Analytics.

Core Responsibilities

Design and develop data integration pipelines and backend services for structured and unstructured data, using Apache Spark with Scala.

Build and optimize distributed computing applications that deliver scalable batch and streaming workloads within Microsoft Fabric environments.

Perform advanced Spark performance tuning, including partitioning strategies, memory configuration, query optimization, and workload balancing across large datasets.

Develop REST-based microservices and APIs on the JVM to enable seamless interoperability between internal and external systems.

Engineer modular, testable, and maintainable code applying functional programming principles and industry-best patterns for reliability and performance.

Optimize workflows through data partitioning strategies, storage formats, and platform configurations to enable high-performance querying and cost efficiency.

Engineering Rigor: Champion the "You Build It, You Run It" philosophy. Apply strict functional programming and SOLID principles to write clean, modular, and testable Scala code.

Performance Optimization: Conduct deep Spark performance tuning - managing memory, query plans, partitioning strategies, and capacity optimization to deliver highly efficient batch and streaming workloads within Microsoft Fabric.

CI/CD & Automation: Architect and maintain robust CI/CD pipelines using GitHub Actions, Maven, and SBT to automate testing, deployment, and configuration of data artifacts.

Required Qualifications & Experience

Strong proficiency in Scala programming with demonstrated knowledge of functional programming concepts, concurrency models, and modular system design.

Spark Expertise (3+ years): Deep, hands-on experience building, debugging and optimizing distributed computing applications using Apache Spark (Scala/Java preferred).

Experience designing data models (STAR, Vault, Tabular) for analytics.

Experience building REST based microservices on JVM.

Synapse/Fabric Experience (3+ years of combined experience); Designing and transforming large data using Azure Data Services (Synapse, ADF, Azure Functions, ARM Templates).

DevOps & CI/CD: Proven ability to build automated release cycles. Hands-on expertise with Git, GitHub Actions, and build tools (Maven/SBT, UV are required).

Demonstrated experience working with big data ecosystems such as Hadoop, Delta Lake, or similar technologies within cloud platforms (AWS, Azure, or GCP).

Delivery: Experience in Agile development (Scrum, lean techniques) and collaborating with global engineering teams.

Location(s):

Mexico

City/Cities:

Mexico

Travel Required:

00% - 25%

Relocation Provided:

Job Posting End Date:

August 29, 2026

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

Annual Incentive Reference Value Percentage:15
Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target.

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data engineer empleos en 2 de octubre cdmx

Sr. Data Engineer

Acceleration Center - Data Engineer - Manager

Academia Data Engineering Semi Sr. Snowflake - Databricks | Remote 2748

Senior Clinical Data Engineer (LATAM)

Senior Clinical Data Engineer (LATAM)

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