Data Engineer ID89384

Pereira, Colombia | Posted on 09/29/2026 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you

ABOUT THE ROLE
We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation. WHAT YOU WILL DO
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- Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
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- Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.
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- Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.
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- Develop data pipelines and processing solutions to support new business requirements and datasets.
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- Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases.
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- Implement data quality checks, monitoring, validation, exception handling, and production controls.
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- Optimize PySpark and SQL workloads for performance, reliability, and scalability.
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- Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions.
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- Troubleshoot complex data and production issues and implement sustainable solutions.
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- Collaborate with business, data engineering, and platform teams to identify further automation opportunities. MUST HAVES
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- 5+ years of strong hands-on experience with Databricks and PySpark.
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- Advanced SQL and data-processing skills.
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- Hands-on experience with GCP, particularly BigQuery.
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- Experience with Delta Lake and modern data lake/lakehouse architectures.
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- Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
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- Experience building reliable, scalable, production-grade data solutions.
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- Strong analytical and troubleshooting skills.
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- Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support. NICE TO HAVES
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- Experience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions.
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- Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes.
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- Familiarity with orchestration and automation frameworks.
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- Experience developing reusable data engineering frameworks and platform components.
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- Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight. PERKS AND BENEFITS
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- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
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- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
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- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
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- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.