Full Stack Engineer II

Cencora is hiring a Full Stack Engineer II to build and maintain applications across the stack while working with data platforms and business intelligence tools. The role develops application features and data pipelines, manages CI/CD and deployments, integrates AI capabilities, 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

Preferred

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

Data Warehousing

Star Schema

Dimensional Modeling

Data Analysis

Pandas

PySpark

Dashboard Development

Report Development

Power BI

Data Engineering

Benefits

Medical, dental, and vision care

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

Training programs

Professional development resources

Opportunities to participate in mentorship programs, employee resource groups, and volunteer activities

Company

Tech career marketplace connecting professionals with recruiters

Centennial, Colorado, USA

https://www.or-quest.nl/

Founded in 1990

201-500 employees

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

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

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

Required skills

Databricks, Apache Spark, Delta Lake, Azure DevOps, Azure Data Factory, Azure Synapse Analytics, Azure Functions, Azure App Services, SQL, Relational and NoSQL Databases, React, Angular, Vue.js, Node.js, Python, Java, .NET, RESTful APIs, Git, Agile/Scrum, ETL/ELT, Data Modeling, PySpark, Pandas, Power BI, Star Schema, Dimensional Modeling, Requirements Gathering

Preferred skills

Exposure to Python-based data analysis (pandas, PySpark), Prior experience in a hybrid engineering/analytics role

Experience

2+ years