Senior Data Engineer

Driven by transformative digital technologies and trends, we are RIB and we’ve made it our purpose to propel the industry forward and make engineering and construction more efficient and sustainable. Built on deep industry expertise and best practice, and with our people at the heart of everything we do, we deliver the world’s leading end-to‑end lifecycle solutions that empower our industry to build better. With a steadfast commitment to innovation and a keen eye on the future, RIB comprises over 2,500 talented individuals who extend our software’s reach to over 100 countries worldwide. We are experienced experts and professionals from different cultures and backgrounds and we collaborate closely to provide transformative software products, innovative thinking and professional services to our global market. Our strong teams across the globe enable sustainable product investment and enhancements, to keep our clients at the cutting‑edge of engineering, infrastructure and construction technology. We know our people are our success – join us to be part of a global force that uses innovation to enhance the way the world builds. Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM) Overview Are you a Data Engineer passionate about being part of an Agentic AI transformation journey and playing a meaningful, hands‑on role? We are looking for a Senior AI Data Engineer to design and build scalable, secure, and high‑performance data platforms that power next‑generation AI applications. This role focuses on making enterprise data AI‑ready by building robust data pipelines, enabling real‑time data access, and supporting advanced use cases such as Generative AI, Retrieval‑Augmented Generation (RAG), and intelligent applications. You will collaborate closely with AI engineers, data engineers, and product teams to deliver reliable, production‑grade data solutions within a modern Azure‑based ecosystem. Why Join Us Work on cutting‑edge AI / Agentic AI initiatives Build enterprise‑scale AI‑ready data platforms Collaborate with global teams across North America, Europe, and APAC Influence architecture, standards, and technical direction Key Responsibilities Build Data Ingestion Pipelines: Develop robust pipelines to extract data from various sources (databases, APIs, flat files) supporting SpecLink AI and related platforms Data Transformation & Processing: Implement scalable transformation and data quality processes to make raw data usable for AI workloads Data Loading & Indexing: Design and manage pipelines that load processed data into storage systems, search indices, and vector stores Real‑Time & Incremental Processing: Enable streaming and near real‑time data pipelines where required by AI systems Pipeline Orchestration & Automation: Implement scheduling, orchestration, and monitoring of data workflows Data Integration & APIs: Develop integration components and APIs to support real‑time and on‑demand data access Testing, Validation & Observability: Implement data quality checks, monitoring, and alerting for pipeline reliability Performance Optimization: Continuously optimize pipelines for performance, scalability, and cost efficiency Collaboration: Partner with global Data Engineering teams, R&D, and AI architects to implement RAG and AI data solutions Documentation & Maintainability: Document data models, pipelines, dependencies, and operational processes Operational Ownership: Monitor pipelines in production and handle post go‑live maintenance and improvements Required Experience & Skills 6–10+ years of experience in Data Engineering or related roles Strong hands‑on experience building end‑to‑end, production‑grade data pipelines AI Tooling Exposure- Hands‑on exposure to tools such as GitHub Copilot, Claude Code, Cursor, or similar AI‑assisted development tools Data Engineering Fundamentals: SQL, data modelling (dimensional, normalized, Lakehouse) Azure Data Platform: Synapse, Data Factory / Fabric, Azure SQL, Cosmos DB Understanding of Modern Data Architecture: Lakehouse, Medallion architecture, Delta / Iceberg, batch + streaming AI Data Infrastructure: Vector databases, embeddings, RAG indexing, unstructured data pipelines Real‑Time & Event‑Driven Systems: Streaming, event‑driven pipelines, asynchronous workflows Data Quality & Observability: Data freshness, retrieval quality, monitoring, SLAs, and cost tracking AI Evaluation Pipelines: Golden datasets, benchmarking, regression datasets Strong experience with MS SQL, Azure SQL, or Cosmos DB Exposure to building pipelines for AI/ML or Agentic AI use cases Solid understanding of incremental loads, CDC, and performance tuning Knowledge of Azure security (Managed Identity, RBAC, Key Vault) Soft Skills: Strong communication and stakeholder collaboration Ability to work in a fast‑paced, cross‑functional environment Ownership mindset with focus on business impact and delivery Nice to Have Experience with event‑driven architecture and asynchronous processing Familiarity with CI/CD pipelines, DevOps practices, and Git‑based workflows RIB may require all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. RIB is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. Come and join RIB to create the transformative technology that enables our customers to build a better world. #J-18808-Ljbffr