Engineer jobs in Colombia

Explore 14 matching jobs.

RevStar

Forward Deployed Engineer

RevStar

Posted: 10/20/2026
Amazon RedshiftAWSCloudHadoopPySparkPythonSparkSQLUnity
Backblaze

Vulnerability Management Engineer

Backblaze

Posted: 10/19/2026
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Orbia

Ingeniero Especificador

Orbia

Posted: 10/14/2026
Applus+

Project Engineer II – Eléctrico, Proyectos FV

Applus+

Posted: 10/9/2026
Clara

Senior Auth Engineer – Users & Auth

Clara

Posted: 10/8/2026
JavaReactSpring
Devsu

Lead – Principal GenAI Engineer

Devsu

Posted: 10/6/2026
AzureCloudPython
Oowlish

Senior Video Streaming, Real-Time Media Engineer

Oowlish

Posted: 10/5/2026
AndroidAWSFFmpegiOSKotlinRedisSwiftTypeScriptC++
FrontLobby

Intermediate/Senior WebApp Engineer

FrontLobby

Posted: 9/30/2026
AngularAWSDockerGoogle Cloud PlatformJavaScriptMySQLNode.jsReactTypeScript+1 more
Periferia IT Group

Ingeniero/a de Infraestructura Cloud – GCP

Periferia IT Group

Posted: 9/24/2026
AzureCloudGoogle Cloud Platform
CRG Solutions

Ingeniero SOC-Networking N1

CRG Solutions

Posted: 9/24/2026
Ciena

Resident Engineer

Ciena

Posted: 9/21/2026
PythonSwitching
Periferia IT Group

Ingeniero/a de Datos - Spark

Periferia IT Group

Posted: 9/18/2026
AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL
Jalasoft

LLM Fine-Tuning and Alignment Engineer

Jalasoft

Posted: 9/17/2026
Periferia IT Group

Ingeniero/a de Soporte de Aplicaciones N2 – WSO2

Periferia IT Group

Posted: 9/16/2026
SQL
RevStar

Forward Deployed Engineer

RevStar
Posted 10/20/2026contractRemote • Colombia, Mexico, Brazil, Argentina, Chile, VenezuelaMid-LevelSeniorWebsite
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Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying data pipelines and analytics engines within the Databricks ecosystem, with a strong focus on cloud-native architectures and Generative AI solutions. Proven ability to lead technical delivery for enterprise clients while mentoring junior team members and driving measurable ROI.

Highest-signal resume keywords
Databricks Ecosystem ExpertiseData EngineeringMachine LearningCloud-Native ArchitecturesTechnical Leadership

Tech Stack

Tools & technologies
Amazon RedshiftAWSCloudHadoopPySparkPythonSparkSQLUnity

About the role

Key responsibilities & impact
  • Design, build, and deploy production-grade data pipelines, analytics engines, and Generative AI/LLM applications using Databricks, Spark, Python/PySpark, and modern cloud ecosystems.
  • Serve as the primary technical leader on strategic enterprise client engagements.
  • Partner with C-level executives, VP/Directors of Data, and engineering teams to translate business challenges into technical solutions.
  • Lead complex legacy platform migrations, including Snowflake, Teradata, legacy Hadoop, and SQL Server, onto Databricks Lakehouse architecture.
  • Guide enterprise customers in Healthcare, Retail, Financial Services, and other industries in adopting GenAI solutions, RAG architectures, model fine-tuning, and MLflow/Databricks Mosaic AI integrations.
  • Identify high-value technical use cases across client business units, expand Databricks platform usage, and drive measurable client ROI.
  • Mentor and coach junior Solution Engineers, Architects, and Consultants.
  • Contribute to internal RevStar code libraries, reusable accelerators, and technical delivery best practices.

Requirements

What you’ll need
  • 5+ years of hands-on experience in Data Engineering, Machine Learning, or Solutions Architecture.
  • 3+ years of deep technical experience within the Databricks Ecosystem, including Delta Lake, Unity Catalog, MLflow, Spark/PySpark, Databricks Workflows/Jobs, and Mosaic AI.
  • Practical experience designing and deploying RAG pipelines, fine-tuning LLMs, working with vector databases, and managing ML pipelines end-to-end.
  • Strong expertise in cloud-native architectures, with AWS preferred, including S3, Glue, Lambda, and Redshift.
  • Proven track record of migrating enterprise legacy data warehouses/lakes onto Databricks.
  • Databricks Certified Data Engineer Professional and/or Machine Learning Professional preferred.
  • Demonstrated track record of leading technical delivery for Fortune 500 or large enterprise clients.
  • Healthcare, Retail, or Consumer Goods experience is a strong plus.
  • Exceptional verbal and written communication skills.
  • Comfortable presenting technical architecture, building POCs/demos, and managing client stakeholders up to the C-suite.
  • Ability to identify technical expansion opportunities within existing client accounts and serve as a technical advocate to grow account footprint.

Benefits

Comp & perks
  • Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
  • Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.
  • Equal opportunity workplace.
  • Reasonable accommodation for individuals with disabilities.

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringMachine LearningDatabricksSparkPythonRAG PipelinesLLM Fine-TuningVector DatabasesML PipelinesLegacy Data Migration
Soft Skills
Verbal CommunicationWritten CommunicationPresentation SkillsStakeholder ManagementMentoring
Tools & Technologies
Databricks LakehouseDelta LakeUnity CatalogMLflowAWSS3GlueLambdaRedshiftDatabricks Workflows
Certifications & Qualifications
Databricks Certified Data Engineer ProfessionalDatabricks Certified Machine Learning Professional
Industry Keywords
HealthcareRetailFinancial ServicesConsumer GoodsEnterprise Clients