Client Reporting Modernization- Full Stack Engineer (AL/ML)- WLK

Expert Technology Services

Westlake, TX

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Analysis Skills, AngularJS, Apache Kafka, Application Programming Interface (API), Artificial Intelligence (AI), Business Intelligence, Business Solutions, Cloud Computing, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Visualization, Data Warehousing, Database Extract Transform and Load (ETL), Internet Technology, JavaScript, Messaging Technology, Microservices, Microsoft Windows Azure, Performance Modeling, Performance Tuning/Optimization, Power BI, Problem Solving Skills, Python Programming/Scripting Language, Quality Engineering, RabbitMQ, React.js, Reporting Dashboards, Resolve Customer Issues, SQL (Structured Query Language), Snowflake Schema, Software Engineering, Streaming Technology, Test Automation, Test Data, User Interface/Experience (UI/UX), Validation Testing, Web Programming
LOCATION
Westlake, TX
POSTED
4 days ago
Job Summary (List Format):

- Collaborate effectively within agile, multi-developer teams to deliver high-quality data engineering and analytics solutions.
- Apply outstanding Python and SQL skills for data engineering, modeling, and large-scale data processing on modern platforms.
- Design, build, and deploy data pipelines, ETL/ELT workflows, and AI/ML data solutions, with at least 5 years of proven experience.
- Support development and productionization of AI/ML models.
- Work extensively with cloud-based data platforms, especially AWS and Azure, with a strong focus on Snowflake data warehousing and data lakes.
- Build and optimize data pipelines and models in Snowflake, integrating data from diverse structured and unstructured sources.
- Design and consume data-centric APIs and microservices to enable AI/ML model integration and downstream analytics.
- Develop interactive dashboards, data visualizations, and business intelligence solutions using Power BI, including semantic modeling and performance optimization.
- Utilize front-end web development technologies (JavaScript, TypeScript, Angular or React) to create intuitive user interfaces for data products and AI-driven insights.
- Ensure data quality through testing and validation frameworks; implement automated testing in data engineering environments.
- Apply data reliability, observability, and performance optimization practices for scalable and resilient data platforms.
- Design and implement data architectures supporting AI/ML workloads and model data pipelines.
- Work hands-on with data streaming/messaging technologies (Kafka, RabbitMQ, Service Bus) for real-time data processing pipelines.
- Demonstrate strong analytical, technical, and problem-solving skills to address complex customer needs.
- Exhibit willingness and ability to learn and experiment with new technologies and patterns.

About the Company

E

Expert Technology Services