Blendis is a premier AI services provider, committed to co‐creating meaningful impact for its clients through the power of data science, AI, technology, and people.
With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence.
The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world‐class people and data‐driven strategy.
We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients.
For more information, visit DescriptionWe are looking for a skilled Data Engineer with 4+ years of experience to design, build, and maintain scalable data pipelines and platforms using Azure and Databricks.
The idóneo candidate will work closely with analytics, data science, and business teams to deliver reliable, high-performance data solutions that enable data‐driven decision‐making.ResponsibilitiesDesign, develop, and optimize end‐to‐end data pipelines using Azure DatabricksRefactor legacy code to simplify maintenance, updates, and reuse across multiple use casesDesign and build modular, reusable code components to support multiple journeys and reduce duplicationConsolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey viewsBuild and maintain scalable data models to support current and future journey analytics use casesEnsure data quality, performance,



and reliability across data pipelines and analytics datasetsCollaborate with analytics and engineering teams to improve data processes and architectureQualifications4+ years of experience in Data EngineeringSolid experience with DatabricksStrong experience working with GitHub repositories and version control workflowsHands‐on experience developing and maintaining data pipelines in Azure DatabricksStrong experience with SQL and large‐scale data processingProven experience refactoring and maintaining legacy codebasesHands‐on experience with Apache Spark (PySpark preferred)Experience working with DBT for data transformation and modelingStrong understanding and hands‐on experience with Medallion Architecture (Bronze, Silver, Gold)Strong understanding of data modeling and reusable component designExperience building scalable data models for analytics and reporting use casesStrong focus on data quality, performance, and reliabilityAbility to work in cross‐functional environments and contribute to continuous improvementAbility to work independently and take ownership of initiatives after receiving high‐level direction, driving tasks forward with minimal supervisionBenefits and PerksCertifications in AWS (Blend is an AWS partner), Databricks, and SnowflakeAccess to AI learning paths to stay up to date with the latest technologiesStudy plans, courses, and additional certifications tailored to the roleAccess to Udemy Business, offering thousands of courses to boost technical and soft skillsEnglish lessons to support professional communicationTravel opportunities to attend industry conferences and meet clientsCareer development plans and mentorship programs to shape your pathSpecial day rewards to celebrate birthdays, work anniversaries, and other personal milestonesCompany‐provided equipmentFlexible working options to help you strike the right balanceOther benefits may vary according to your location in LATAM.
For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.
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📌 Data Engineer (Jalisco)
🏢 Blend
📍 Jalisco