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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** St. George Tanaq Corporation - **Location:** Phoenix, AZ, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Application Integration Architecture, Microsoft Azure, Big Data, Cloud Computing, Information Systems, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Systems, DevOps, Python (Programming Language), Machine Learning, Meta-Data Management, Cloud Services, Standard Sql, Management of Software Versions, Data Logging, Apache Spark, Gitlab, Information Technology, Data Lineage, Data Management, Machine Learning Operations, Software Version Control, Data Pipelines, Databricks - **Published:** September 20, 2026 - **Apply:** https://dejobs.org/x/x/8FEDEC846CEF405CB7CFBDB80D50F742/job/ ## About the Role Required Experience and Skills * 5+ years of experience in data engineering for AI/ML workflows * Expertise in cloud-native data systems and large-scale data processing * Familiarity with AI/ML pipelines, reproducible workflows, and federal compliance * Previous experience supporting HUD OCIO preferred. * Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval. * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Technical Skills * Cloud platforms: AWS Bedrock, Azure OpenAI, S3, Redshift, Data Factory * ETL/ELT frameworks: Airflow, Spark, Databricks * Data modeling, schema design, and optimization for AI workloads * Programming: Python, SQL * Version control: Git/GitHub/GitLab * Data governance, metadata management, and logging Core Competencies * Collaboration with Data Scientists, DevOps, and UX teams * Problem-solving for scalable AI/ML pipelines * Documentation and reproducible workflows * Agile development mindset and iterative improvement * Security, privacy, and compliance awareness Education and Training * Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. Master's degree in related field, preferred. * Certifications in cloud data platforms (AWS, Azure), preferred. Physical Requirements * Prolonged periods of sitting at a desk and working on a computer. May occasionally need to lift up to 25 pounds. ## Description We are seeking a Senior Data Engineer to design, optimize, and maintain data pipelines and systems that support HUD AI/ML proofs of concept and pilots. This role will ensure efficient, scalable, and secure data workflows for machine learning, advanced analytics, and AI integration. This is a fully remote position supporting a federal government contract that requires a federal background check and NACI clearance. Candidates must reside in the United States. Responsibilities * Design and optimize data pipelines and architectures for AI/ML workflows on cloud platforms. * Develop ETL/ELT processes, ensuring data quality, consistency, and accessibility. * Configure and manage AI/ML-ready cloud infrastructure (AWS Bedrock, Azure OpenAI). * Collaborate with Data Scientists to operationalize models and enable scalable AI solutions. * Implement data governance, versioning, and lineage tracking for compliance. * Monitor and maintain high-performance data systems and optimize for throughput. ## Related Videos - [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) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [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) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) ## 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) - [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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Got AI ideas but no money? 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