Ingeniero/a de Datos – Databricks ID89384

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
* Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
* Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.
* Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.
* Develop data pipelines and processing solutions to support new business requirements and datasets.
* Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases.
* Implement data quality checks, monitoring, validation, exception handling, and production controls.
* Optimize PySpark and SQL workloads for performance, reliability, and scalability.
* Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions.
* Troubleshoot complex data and production issues and implement sustainable solutions.
* Collaborate with business, data engineering, and platform teams to identify further automation opportunities. MUST HAVES
* 5+ years of strong hands-on experience with Databricks and PySpark.
* Advanced SQL and data-processing skills.
* Hands-on experience with GCP, particularly BigQuery.
* Experience with Delta Lake and modern data lake/lakehouse architectures.
* Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
* Experience building reliable, scalable, production-grade data solutions.
* Strong analytical and troubleshooting skills.
* Understanding of software engineering practices, including testing, version control, deployment, monitoring, and production support. NICE TO HAVES
* Experience developing or integrating AI/agentic workflows, AI agents, or workflow automation solutions.
* Experience applying AI to automate data engineering, validation, troubleshooting, or operational processes.
* Familiarity with orchestration and automation frameworks.
* Experience developing reusable data engineering frameworks and platform components.
* Exposure to productionizing AI-enabled solutions with appropriate validation, monitoring, and human oversight. PERKS AND BENEFITS
* Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
* Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
* A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
* 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. Meet Our Recruitment Process Each step helps us understand your skills and overall fit. If it’s a match, you’ll receive an offer. #J-18808-Ljbffr