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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Real Staffing - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Big Data, Cloud Computing, Cloud Database, Collaborative Software, Information Systems, Information Engineering, Data Governance, Data Integration, Data Systems, Knowledge Management, Machine Learning, Meta-Data Management, Performance Tuning, DataOps, Search Technologies, Systems Integration, Cloud Platform System, Data Ingestion, Sql Optimization, Information Technology, Data Management, Machine Learning Operations, Software Version Control, Data Pipelines - **Published:** September 5, 2026 - **Apply:** https://www.realstaffing.com/en-gb/job/senior-data-engineer/4070871 ## About the Role * Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical discipline. * 7+ years of experience designing, building, and supporting production-grade data solutions. * Strong expertise in data integration, transformation, and large-scale pipeline development. * Experience with cloud-based data platforms and modern data engineering ecosystems. * Advanced SQL skills and experience working with large datasets in operational and analytical environments. * Strong understanding of data governance, metadata management, lineage, and quality controls. * Experience operating within enterprise environments that require security, compliance, and governance standards. * Excellent problem-solving, collaboration, and communication skills. Preferred Qualifications * Experience supporting AI, machine learning, or large language model initiatives. * Hands-on knowledge of vector databases, semantic search, retrieval systems, or related technologies. * Experience developing data platforms that support intelligent automation and AI-powered workflows. * Familiarity with MLOps, LLMOps, data observability, and pipeline monitoring practices. * Experience integrating with enterprise platforms such as project management, product lifecycle management, source control, or collaboration tools. * Background in healthcare, life sciences, manufacturing, financial services, or other regulated industries. ## Description A leading organization in a highly regulated industry is seeking a Senior Data Engineer to help build and scale the data foundation that supports advanced analytics and AI-driven business processes. This role offers the opportunity to work at the intersection of data engineering, cloud technologies, and emerging AI capabilities while partnering closely with technical and business stakeholders. The successful candidate will be responsible for developing reliable data pipelines, improving data quality and accessibility, and creating frameworks that enable enterprise-wide AI and analytics initiatives. This is an excellent opportunity for an experienced data professional who enjoys building scalable solutions in a complex, data-intensive environment. What You'll Do * Design, develop, and maintain scalable data pipelines that collect, transform, and deliver data from multiple enterprise systems. * Build data ingestion and processing solutions that support AI, machine learning, and advanced analytics initiatives. * Ensure data reliability, accuracy, governance, and accessibility across critical business datasets. * Establish and maintain data quality standards, validation processes, and monitoring frameworks. * Partner with architects, application teams, and business stakeholders to optimize how data is structured and consumed. * Support retrieval, search, and knowledge-management capabilities for AI-enabled applications. * Collaborate on cloud-based data platform architecture and integration strategies. * Improve operational efficiency through automation, standardization, and scalable engineering practices. * Support testing, performance optimization, and ongoing enhancement of data solutions. * Contribute to technical best practices and foster a culture of innovation, accountability, and continuous improvement. ## 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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)