Job Details Summary:
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
Required 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 of 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
What Cencora offersWe provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members' ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses 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. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit https://www.virtualfairhub.com/cencora
Full time
Salary Range*$62,400 - 97,900
*This Salary Range reflects a National Average for this job. The actual range may vary based on your locale. Ranges in Colorado/California/Washington/New York/Hawaii/Vermont/Minnesota/Massachusetts/Illinois State-specific locations may be up to 10% lower than the minimum salary range, and 12% higher than the maximum salary range.
