{"schemaVersion":"jobsearcher.job.v1","id":"f1cc2621d3991d9bedd73a62","url":"https://jobsearcher.com/jobs/f1cc2621d3991d9bedd73a62","canonicalUrl":"https://jobsearcher.com/jobs/f1cc2621d3991d9bedd73a62","title":"Full Stack Engineer","description":"Company DescriptionCooper is an AI-enabled enterprise decision-making platform designed to support executives in making critical daily decisions, tracking decision performance over time, and transforming organizations into agile market leaders. By leveraging Cooper's capabilities, executives can significantly enhance revenue, EBITDA, and cash flow. Cooper ensures that users \"be right more than they ever thought possible.\"Role DescriptionThis is a contract-to-hire position for a Full Stack Engineer. The Full Stack Engineer will be responsible for the following: - Develop and enhance REST APIs using Java (Spring) or Python (FastAPI) for our BI platform- Build data integration pipelines with Airbyte and custom ETL/ELT processes- Create Snowflake-based analytics including Python stored procedures and UDFs for KPI calculations- Implement AI agent workflows using LangChain or Pydantic AI to help business leaders prioritize decisions- Design and optimize data models and queries for performance at scale- Develop infrastructure components using Terraform and AWS CDK- Collaborate on technical architecture decisions for data processing and AI integration- Create API integrations with various business systems (CRM, marketing tools, financial systems)- Write clean, scalable code with proper testing and documentation- Participate in product discussions and provide technical input on platform capabilitiesQualificationsBackend Development (Choose One Path):- Java Path: Strong proficiency with Java and Spring Framework for REST API development- Python Path: Strong proficiency with Python and FastAPI for REST API development- *Note: We use both stacks - you don't need to know both, but should be strong in one*Data Platform & Analytics (Highly Preferred):- SQL expertise and experience with cloud data warehouses (Snowflake experience is a major plus)- ETL/ELT pipeline development and data processing workflows- Python for data processing, stored procedures, or analytical workloads- Experience with ELT tools (Airbyte experience preferred, but similar tools like Fivetran/Stitch acceptable)AI/LLM Integration (Strong Plus):- Experience with AI agent frameworks (LangChain, LangGraph, or similar)- Working with LLMs and prompt engineering- Pydantic for data validation and AI model integration- Understanding of RAG (Retrieval-Augmented Generation) patternsCloud Infrastructure:- AWS services and cloud-native development- Infrastructure as Code (Terraform experience preferred, or AWS CDK)- Understanding of data security and compliance in cloud environmentsFoundation Skills:- Git version control and collaborative development- RESTful API design and integration- Database design and optimizationRequired Qualifications- 5+ years of professional software development experience- Strong backend development in either Java (Spring) or Python (FastAPI)- Experience with cloud data platforms and SQL-heavy applications- Proven ability to work with data pipelines and ETL/ELT processes- AWS experience and understanding of cloud-native architectures- Proven track record of architecting and delivering complex systems independently- Strong problem-solving skills and comfort working independently in a startup environment- Excellent communication skills for collaborating with both technical and business stakeholders- Entrepreneurial mindset and excitement about AI-powered business intelligencePreferred Qualifications- Snowflake experience (data warehousing, Python stored procedures, analytical workloads)- AI/LLM integration experience with frameworks like LangChain or similar- Experience with ELT tools (Airbyte preferred, or Fivetran, Stitch, etc.)- Infrastructure as Code experience (Terraform, AWS CDK, or similar)- Previous experience building data-driven applications or BI platforms- Understanding of business intelligence concepts and KPI tracking- Previous startup experience, especially in the data/AI space- Experience working with Pydantic for data validation and API development","company":"Cooper","rawCompany":"cooper","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T12:14:17.301Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full Stack Engineer","description":"Company DescriptionCooper is an AI-enabled enterprise decision-making platform designed to support executives in making critical daily decisions, tracking decision performance over time, and transforming organizations into agile market leaders. By leveraging Cooper's capabilities, executives can significantly enhance revenue, EBITDA, and cash flow. Cooper ensures that users \"be right more than they ever thought possible.\"Role DescriptionThis is a contract-to-hire position for a Full Stack Engineer. The Full Stack Engineer will be responsible for the following: - Develop and enhance REST APIs using Java (Spring) or Python (FastAPI) for our BI platform- Build data integration pipelines with Airbyte and custom ETL/ELT processes- Create Snowflake-based analytics including Python stored procedures and UDFs for KPI calculations- Implement AI agent workflows using LangChain or Pydantic AI to help business leaders prioritize decisions- Design and optimize data models and queries for performance at scale- Develop infrastructure components using Terraform and AWS CDK- Collaborate on technical architecture decisions for data processing and AI integration- Create API integrations with various business systems (CRM, marketing tools, financial systems)- Write clean, scalable code with proper testing and documentation- Participate in product discussions and provide technical input on platform capabilitiesQualificationsBackend Development (Choose One Path):- Java Path: Strong proficiency with Java and Spring Framework for REST API development- Python Path: Strong proficiency with Python and FastAPI for REST API development- *Note: We use both stacks - you don't need to know both, but should be strong in one*Data Platform & Analytics (Highly Preferred):- SQL expertise and experience with cloud data warehouses (Snowflake experience is a major plus)- ETL/ELT pipeline development and data processing workflows- Python for data processing, stored procedures, or analytical workloads- Experience with ELT tools (Airbyte experience preferred, but similar tools like Fivetran/Stitch acceptable)AI/LLM Integration (Strong Plus):- Experience with AI agent frameworks (LangChain, LangGraph, or similar)- Working with LLMs and prompt engineering- Pydantic for data validation and AI model integration- Understanding of RAG (Retrieval-Augmented Generation) patternsCloud Infrastructure:- AWS services and cloud-native development- Infrastructure as Code (Terraform experience preferred, or AWS CDK)- Understanding of data security and compliance in cloud environmentsFoundation Skills:- Git version control and collaborative development- RESTful API design and integration- Database design and optimizationRequired Qualifications- 5+ years of professional software development experience- Strong backend development in either Java (Spring) or Python (FastAPI)- Experience with cloud data platforms and SQL-heavy applications- Proven ability to work with data pipelines and ETL/ELT processes- AWS experience and understanding of cloud-native architectures- Proven track record of architecting and delivering complex systems independently- Strong problem-solving skills and comfort working independently in a startup environment- Excellent communication skills for collaborating with both technical and business stakeholders- Entrepreneurial mindset and excitement about AI-powered business intelligencePreferred Qualifications- Snowflake experience (data warehousing, Python stored procedures, analytical workloads)- AI/LLM integration experience with frameworks like LangChain or similar- Experience with ELT tools (Airbyte preferred, or Fivetran, Stitch, etc.)- Infrastructure as Code experience (Terraform, AWS CDK, or similar)- Previous experience building data-driven applications or BI platforms- Understanding of business intelligence concepts and KPI tracking- Previous startup experience, especially in the data/AI space- Experience working with Pydantic for data validation and API development","datePosted":"2026-08-14T12:14:17.301Z","dateModified":"2026-08-14T12:14:17.301Z","hiringOrganization":{"@type":"Organization","name":"Cooper","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f1cc2621d3991d9bedd73a62"},"url":"https://jobsearcher.com/jobs/f1cc2621d3991d9bedd73a62"}}