Field Engineer

📋 Description

• Work directly with clients to design, develop, and deploy custom integrations, automations, and
• Build production-ready solutions that accelerate client onboarding, reduce time-to-value, and
• Develop intelligent automation using AI, large language models (LLMs), and machine learning to
• Lead Databricks-based implementations, designing reliable data infrastructure to streamline
• Translate complex or ambiguous client requirements into scalable technical solutions through
• Write high-quality Python code for ETL pipelines, API integrations, data validation frameworks, and

🎯 Requirements

• At least 3 years of experience in software engineering, data engineering, or forward-deployed
• Advanced proficiency in Python, including experience developing production-grade applications
• Strong understanding of REST APIs, authentication mechanisms, and integration architecture
• Practical experience with Databricks, Spark, and distributed data processing frameworks
• Proficiency in SQL and experience managing large datasets across relational and NoSQL databases
• Experience designing and implementing ETL/ELT pipelines for complex data transformations

🎁 Benefits

• Opportunity to work on advanced financial data solutions and AI-powered technology
• Direct exposure to complex client challenges and opportunities to deliver measurable business impact
• Professional growth through collaboration with experienced Product, Engineering, and Services teams
• Opportunities to influence product development, technical roadmaps, and engineering best practices
• A collaborative environment that encourages innovation, continuous learning, shared ownership, and