Full Stack Engineer II

AmerisourceBergen Services Corporation is hiring a Full Stack Engineer II to build and maintain web applications, data pipelines, and AI-powered features. The role also manages CI/CD and deployments, analyzes data and application performance, and translates business needs into technical and analytical solutions.

Responsibilities:

• Design, develop, and maintain front-end and back-end components of web applications
• Build and consume RESTful/GraphQL APIs integrating with internal and external data sources
• Write clean, tested, maintainable code following team standards
• Debug and resolve issues across the application stack
• Build and optimize data pipelines and notebooks in Databricks using Python/PySpark/SQL
• Support ETL/ELT processes to move and transform data across environments
• Perform data analysis to support product, engineering, and business decisions — identifying trends, anomalies, and actionable insights
• Independently build LLM-powered application features; apply prompt engineering, manage model behavior and token budgets, and design AI interactions that are reliable and appropriate for production use
• Integrate RAG pipelines and vector search components into application layers; work with data scientists to ensure retrieval quality meets application requirements
• Leverage AI coding assistants to accelerate development, testing, and code review tasks; validate AI-generated code critically and apply it with the same engineering discipline as hand-written code
• Analyze application telemetry, load times, bundle sizes, and query execution plans to identify bottlenecks
• Translate product KPIs or user metrics into technical tracking requirements (e.g., event logging and monitoring)
• Manage CI/CD pipelines using Azure DevOps (Boards, Repos, Pipelines, Artifacts)
• Participate in release management, environment configuration, and deployment automation
• Monitor application and pipeline health; troubleshoot build/deployment failures
• Partner directly with business stakeholders to gather requirements and clarify data/reporting needs
• Translate business questions into technical specs, data models, or dashboard requirements
• Present findings, dashboards, or technical updates clearly to both technical and non-technical audiences
• Collaborate with product managers, designers, and other engineers in sprint planning and reviews
• Participate in code reviews and uphold engineering best practices
• Write and maintain technical documentation (data dictionaries, pipeline docs, runbooks)
• Mentor junior engineers on specific tasks as needed

Requirements:

• Bachelor's degree in computer science, software engineering, systems engineering, information technology, or a related field, or equivalent experience required
• 2+ years of professional experience in full stack software development
• Hands-on experience with Databricks (Spark, notebooks, Delta Lake)
• Experience with Azure DevOps for CI/CD, version control, and work item tracking
• Experience with Azure cloud services (Data Factory, Synapse, Functions, App Services)
• Strong SQL skills and experience with relational/NoSQL databases
• Frontend experience (React, Angular, or Vue) and backend experience (Node.js, Python, Java, or .NET)
• Demonstrated ability to communicate with non-technical stakeholders and gather requirements
• Experience with Git-based version control and Agile/Scrum workflows
• Write and optimize complex SQL queries (joins, aggregations, indexing, subqueries)
• Understand database schemas, normalization, and basic data modeling
• Handle data transformation logic between the database, backend APIs, and front-end states
• Experience with RESTful APIs and basic integration concepts
• Familiarity with relational databases and/or NoSQL databases
• Experience using version control systems, testing frameworks, and Agile development practices
• Understanding software development of lifecycle concepts, debugging, and quality code practices
• Strong problem-solving, communication, and teamwork skills
• Familiarity with data warehousing concepts (star schema, dimensional modeling)
• Exposure to Python-based data analysis (pandas, PySpark)
• Building AI/BI Dashboards/reports/traditional dashboards in Databricks/Power BI tools
• Prior experience in a hybrid engineering/analytics role
• Technical versatility across application development and data platforms
• Analytical thinking and attention to detail
• Clear written and verbal communication with cross-functional teams
• Ownership mindset — can take a feature or analysis from requirements to delivery