Senior Full Stack Developer

Key Responsibilities

• Design, develop, and deploy applications and analytics solutions that support business and client-advisory workflows, with a focus on making data more accessible and actionable.
• Evaluate technical feasibility and make informed decisions regarding architecture, tools, and implementation approaches.
• Design and maintain well-structured datasets, semantic layers, and analytics assets that empower business users to perform self-service analysis.
• Own data quality, reliability, documentation, and maintainability for analytics products and data pipelines.
• Identify opportunities to leverage AI and advanced analytics technologies to improve workflows, productivity, and decision-making.
• Collaborate with technical and non-technical stakeholders to deliver solutions aligned with business objectives.

Qualifications

• 5+ years of experience in software engineering, analytics engineering, data science, or data-intensive application development.
• Demonstrated track record of designing, building, and deploying production-grade applications and data products.
• Proficiency in one or more programming languages such as Python, JavaScript/TypeScript, Julia, or R.
• Experience with at least one major cloud platform (Azure, AWS, or Google Cloud Platform).
• Experience with source control and CI/CD practices using tools such as GitHub, Azure DevOps, or similar platforms.
• Strong SQL skills and experience working with data warehouses, analytical databases, or modern data platforms.
• Understanding of data modeling principles and experience transforming raw data into clean, structured datasets for analytics and reporting.
• Strong communication and collaboration skills, including the ability to work effectively with business stakeholders.

Preferred Qualifications

• Experience with cloud-native AI services, serverless technologies, or managed application platforms.
• Experience integrating large language model (LLM) APIs into production applications, workflows, or data products.
• Familiarity with enterprise business platforms such as IT service management, workforce planning, ERP, or workflow automation systems.
• Prior experience in financial services, investment banking, consulting, or another data-intensive industry.
• Understanding of business workflows involving client advisory services, financial reporting, or operational analytics.
• Experience using AI-assisted development tools as part of a modern software engineering workflow.

Compensation

Up to $175,000 annually