Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Develop custom connectors on Airbyte for data ingestion from various platforms, ensuring accurate data integration and transformation. Collaborate with stakeholders and perform testing for reliability.

Seeking a QA Automation Developer with Leapwork expertise to enhance automation for a Shopify-based retail eCommerce platform and other enterprise systems. Responsibilities include designing test scripts, executing test suites, and collaborating with teams on automation opportunities.

The JDA Architect/Developer will design, implement, and customize JDA solutions, collaborating with stakeholders and ensuring integration with other systems while providing technical guidance.

The L1.5 Support Engineer provides expert support for issues requiring additional expertise beyond Level 1, collaborating with the Level 1 team and ensuring timely resolutions.

This senior role involves developing and enhancing a monitoring application that consolidates various data sources. Responsibilities include application logic, data schemas, and collaborating with business and DevOps teams for enhancements.

The Senior Data Engineer will design data pipelines for the AI ecosystem, manage Vector Databases, and ensure data governance, optimizing schemas for AI consumption.

The role involves gathering requirements from stakeholders and developing comprehensive reporting solutions for supply chain operations in a remote setting.

The QA DB Integration Engineer will validate data integrations and APIs, ensuring data accuracy and end-to-end quality across business systems through various testing methodologies.

The SnapLogic Support Engineer provides L2/L3 support for integrations, monitors integration jobs, resolves data issues, performs root cause analysis, and engages with business users and vendors.

Build and maintain scalable, secure data pipelines and AI-ready datasets using Azure Databricks, Snowflake, Python, and Spark; support RAG solutions, integrate Azure AI services, implement data governance, CI/CD, and production monitoring for enterprise generative AI initiatives.