Full Stack Engineer II — Data, AI & Cloud Pipelines

Cencora; Wilmington (DE); On-site; USD 62,000 - 98,000; Full time

Job summary

Cencora is seeking a Full Stack Engineer II to design, develop, and maintain multi-tier web applications while leveraging data platforms and BI tools. You will build RESTful/GraphQL APIs, manage CI/CD pipelines, and work with large-scale data in Databricks to deliver analytical solutions.

You will also explore LLM-powered features, implement RAG pipelines, and monitor performance across the stack. Collaboration with product teams, data scientists, and operations will be essential to succeed in

Qualifications

• Bachelor's degree in computer science, software engineering, systems engineering, information technology, or a related field, or equivalent experience.
• 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 lifecycle concepts, debugging, and quality code practices.
• Strong problem-solving, communication, and teamwork skills.

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.

Skills

Full stack development

Databricks (Spark/Delta Lake)

Azure DevOps

Azure cloud services

SQL

React/Angular/Vue

Node.js/Python/Java/.NET

RESTful/GraphQL APIs

Git & Agile/Scrum

Communication with stakeholders

Data modeling & SQL queries

Education

Bachelor's degree in CS/SE/IT or equivalent

Tools

Databricks

Azure DevOps

Job description

Cencora is seeking a Full Stack Engineer II to design, develop, and maintain multi-tier web applications while leveraging data platforms and BI tools. You will build RESTful/GraphQL APIs, manage CI/CD pipelines, and work with large-scale data in Databricks to deliver analytical solutions.

You will also explore LLM-powered features, implement RAG pipelines, and monitor performance across the stack. Collaboration with product teams, data scientists, and operations will be essential to succeed in