Data Engineer
Hi there! 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.
The mandatory requirements are 5+ years of experience with Databricks and GCP, advanced SQL, and experience with Delta Lake and lakehouse architectures, along with an upper-intermediate English level. Experience building AI agents is a plus.
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.
● Upper-intermediate English level.
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
Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback:
● Short online form to confirm basic requirements
● 30–60 minute skills assessment
● 5-minute introduction video
Synchronous stage — Live interviews
● Technical interview with our engineering team (scheduled at your convenience)
● Final interview with your future teammates
If it’s a match—you’ll get an offer!