> Markdown version of [/jobs/ext/1790358-client-reporting-modernization-full-stack-engineer-al-ml-wlk](https://www.wearedevelopers.com/jobs/ext/1790358-client-reporting-modernization-full-stack-engineer-al-ml-wlk). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Client Reporting Modernization- Full Stack Engineer (AL/ML)- WLK - **Company:** Blue Ribbon Global Technologies - **Location:** Westlake, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Automation of Tests, Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Visualization, Data Warehousing, DevOps, Design of User Interfaces, Python (Programming Language), Machine Learning, Performance Tuning, RabbitMQ, Power BI, Standard Sql, Data Streaming, TypeScript, Web Application Frameworks, Cloud Platform System, ReactJS, Snowflake, Data Lakes, AngularJS, Data Analytics, Apache Kafka, Data Management, Front End Software Development, Stream Processing, Data Pipelines, Microservices - **Published:** July 18, 2026 - **Apply:** https://www.careerjet.com/jobad/us1a9b5aaba437763c500e189fa33bb0fb ## About the Role microservices to support AI/ML model integration and downstream analytics use cases. Extensive experience building interactive dashboards, data visualizations, and business intelligence solutions using Power BI, including semantic modeling and performance optimization. Strong experience with front-end web development technologies, including JavaScript, TypeScript, and modern frameworks such as Angular or React, with the ability to build intuitive user interfaces for data products and AI-driven insights. Experience with data quality, testing, and validation frameworks for data pipelines, along with familiarity with automated testing approaches in data engineering environments. Experience applying data reliability, observability, and performance optimization practices to ensure highly scalable and resilient data platforms. Experience designing and implementing data architectures supporting AI/ML workloads and model data pipelines. Hands-on experience working with data streaming and messaging technologies such as Kafka, RabbitMQ, or Service Bus to enable real-time data processing pipelines. Strong analytical, technical, and problem-solving skills to understand complex customer needs and transactions Ability to learn and experiment with new technologies and patterns ## Description Consistent record of accomplishment of working in collaborative teams to deliver high quality data engineering and analytics solutions in a multi-developer agile environment following coding standard methodologies and DevOps practices. Outstanding Python and SQL skills, with deep experience in data engineering, data modeling, and large-scale data processing across modern data platforms. At least 5 years of proven experience designing, building, and deploying data pipelines, ETL/ELT workflows, and AI/ML data solutions, including experience supporting model development and productionization. Extensive experience working with cloud-based data platforms (AWS, Microsoft Azure) with a strong focus on Snowflake-based data warehousing and data lake architectures. Strong expertise in building and optimizing data pipelines and data models in Snowflake, along with experience integrating data from multiple structured and unstructured sources. Experience designing and consuming data-centric APIs and, Title: Full Stack Engineer (Go) Location: Westlake, TX On-site/Remote/Hybrid: Onsite Duration: 6+ Months Interview Process: 2 Rounds No of submissions: No of Positions: … + 2 months ago, Consistent record of accomplishment of working in collaborative teams to deliver high quality data engineering and analytics solutions in a multi-developer agile environment follow… + 1 day ago + Apply easily ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Kafka & RabbitMQ: Why NATS is the Future of Microservices Messaging](https://www.wearedevelopers.com/videos/1646-beyond-kafka-rabbitmq-why-nats-is-the-future-of-microservices-messaging) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Why Systems Break After Initial Success: The Architectural Failures That Take Months to Surface](https://www.wearedevelopers.com/videos/2048-why-systems-break-after-initial-success-the-architectural-failures-that-take-months-to-surface) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)