[Hiring] Full Stack Engineer II @Cencora

Role Description

We're looking for a Full Stack Engineer II who can build and maintain applications across the stack while also working comfortably with data platforms and business intelligence tools. You'll develop features, manage CI/CD pipelines, work with large-scale data in Databricks, and translate business needs into technical and analytical solutions.

Key Responsibilities

• Full Stack Development
  • 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
• Data Engineering & Analytics
  • 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
• LLM and AI Integration
  • 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)
• DevOps & Deployment
  • 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
• Stakeholder Engagement
  • 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
• Quality & Collaboration
  • 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

Qualifications

• 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 lifecycle concepts, debugging, and quality code practices
• Strong problem-solving, communication, and teamwork skills

Preferred Qualifications

• 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

Core Competencies

• 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

Benefits

• Compensation, benefits, and resources that enable a highly inclusive culture
• Support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave
• Variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more