> Markdown version of [/jobs/ext/1898339-data-engineer-ai-ml](https://www.wearedevelopers.com/jobs/ext/1898339-data-engineer-ai-ml). 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). --- # Data Engineer (AI/ML) - **Company:** Akaasa Technologies - **Location:** Westlake, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), RabbitMQ, Power BI, SQL Databases, Data Streaming, Snowflake, Data Lakes, Apache Kafka, Data Pipelines, Microservices - **Published:** August 1, 2026 - **Apply:** https://www.careerjet.com/jobad/us3208a7c0048b5d7bb3cad11d6b334789 ## About the Role * Skill Set: Senior data engineer with 5+ years of experience in Python, SQL, ETL/ELT pipelines, and cloud platforms (AWS, Azure), Snowflake for data warehousing and data lakes. It demands a Power BI expert (semantic modeling, visualization, legacy report modernization) who can migrate legacy datasets and build real-time streaming architectures (Kafka, RabbitMQ, Service Bus). The engineer must design data-centric APIs/microservices, apply data reliability, observability, and automated testing, build data pipelines that support AI/ML productionization, and actively leverage AI coding tools like Copilot and Claude. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [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) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)