Senior Data Engineer

The Coca-Cola Company

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

Posted 9/22/2026full-timeMexico City • MexicoSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in designing and developing data integration pipelines and backend services using Apache Spark and Scala, with a strong focus on performance tuning and modular system design. Experienced in building REST microservices and CI/CD pipelines, leveraging Azure Data Services and Agile methodologies for effective collaboration.

Highest-signal resume keywords

Scala ProgrammingApache Spark OptimizationREST Microservices DevelopmentCI/CD Pipeline ArchitectureAzure Data Services Experience

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Hard Skills

Apache SparkScalaFunctional ProgrammingREST APIsData Integration PipelinesPerformance TuningModular System DesignAgile DevelopmentData ModelingBig Data Technologies

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

GitHub ActionsMavenSBTAzure Data FactoryAzure FunctionsHadoopDelta Lake

Industry Keywords

Distributed ComputingBatch ProcessingStreaming WorkloadsData PartitioningCost Efficiency

Tech Stack

Tools & technologies

ApacheAWSAzureGoogle Cloud PlatformHadoopMavenMicroservicesScalaSparkVault

About the role

Key responsibilities & impact

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 for scalable batch and streaming workloads in Microsoft Fabric
Perform advanced Spark performance tuning, including partitioning, memory configuration, query optimization, and workload balancing
Develop JVM-based REST microservices and APIs for interoperability between internal and external systems
Engineer modular, testable, and maintainable Scala code using functional programming and SOLID principles
Optimize workflows through data partitioning, storage formats, and platform configurations for high-performance querying and cost efficiency
Champion the “You Build It, You Run It” philosophy
Architect and maintain CI/CD pipelines using GitHub Actions, Maven, and SBT for automated testing, deployment, and configuration of data artifacts
Collaborate with global engineering teams using Agile development practices

Requirements

What you’ll need

Strong proficiency in Scala programming
Knowledge of functional programming concepts, concurrency models, and modular system design
3+ years of hands-on experience building, debugging, and optimizing Apache Spark distributed computing applications
Experience designing STAR, Vault, and Tabular data models for analytics
Experience building REST-based microservices on the JVM
3+ years of combined Synapse/Fabric experience
Experience with Azure Data Services, including Synapse, ADF, Azure Functions, and ARM Templates
Ability to build automated release cycles
Hands-on expertise with Git, GitHub Actions, Maven, SBT, and UV
Experience with Hadoop, Delta Lake, or similar big data technologies in AWS, Azure, or GCP
Experience in Agile development, including Scrum and lean techniques
Experience collaborating with global engineering teams

Benefits

Comp & perks

Growth mindset and continuous learning culture
Inclusive company culture
Agile work environment
00%–25% travel allowance/requirement
No relocation provided