> Markdown version of [/jobs/ext/2271866-data-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2271866-data-ai-engineer). 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 & AI Engineer - **Company:** LEDGENT - **Location:** Sacramento, United States - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Microsoft Azure, Computer Programming, Databases, Data Architecture, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Software Debugging, Electronic Data Interchange (EDI), Github, Revision Control Systems, Python (Programming Language), Power BI, Cloud Services, SQL Databases, Tableau (Software), Enterprise Data Management, Retrieval-Augmented Generation, Large Language Models, Operational Systems, Data Management, Machine Learning Operations, Data Pipelines, Databricks - **Published:** August 27, 2026 - **Apply:** https://www.dice.com/job-detail/4fa06506-1818-4b6e-a507-f25840448c6a ## About the Role * Successful completion of pre-employment drug, alcohol, and background investigation. * Ability to build trust and rapport quickly with employees at all levels, demystifying data and AI for non-technical audiences, and championing responsible adoption through day-to-day partnership. * Demonstrated expertise in designing, building, and maintaining scalable data pipelines and ETL/ELT processes. * Proficiency with cloud data platforms and services such as Azure and Databricks; experience with modern data warehousing and data architecture concepts. * Strong programming skills in Python and SQL; working knowledge of additional languages (e.g., Java, R) is a plus. * Hands-on experience applying AI and building foundational AI agents (e.g., using large language models, basic tool use, or retrieval-augmented generation) to real use cases required. * Experience with MLOps/AIOps practices for deploying, monitoring, and maintaining models and data/AI pipelines in production preferred. * Experience with version control tools (e.g., GitHub, Azure DevOps), Agile software development best practices, AI-assisted coding tools (e.g., Claude Code) to accelerate development; and data visualization platforms (e.g., Power BI, Tableau) preferred. * Ability to collaborate across teams of varying technical backgrounds to support delivery. * Strong problem-solving and debugging skills, including the ability to diagnose issues in unfamiliar code or systems. * Ability to translate between technical, business, and executive stakeholders on data sources, data management concepts, and analytical approaches. * Ability to preserve confidential and proprietary information and successfully avoid conflicts of interest. * Must be able to prioritize, manage multiple workstreams, and recognize when to seek direction. ## Description This position is responsible for designing, developing, and maintaining the data pipelines, infrastructure, and systems that enable reliable data integration, transformation, and delivery across enterprise data platform. The Data & AI Engineer partners with data scientists, analysts, and AI engineers to ensure data is high-quality, well-governed, and ready to support analytics, AI, and business intelligence, and applies foundational AI and agent-building skills to deliver solutions to business problems. This role sits within the Data & Technology Solutions department and contributes to the build-out of enterprise data platform and AI capabilities. Responsibilities: Essential duties and responsibilities, i.e. those which are basic, necessary, and an integral part of the job, are indicated below: 1. Designs and develops data pipelines that extract data from various sources, transforms it into the desired format, and loads it into data platform. 2. Integrates data from databases, data warehouses, APIs, and external systems, including telematics, work order, and other operational systems; ensures data consistency and integrity during integration, performing validation and cleaning as needed; develops and maintains APIs as needed to enable data exchange between systems. 3. Applies foundational AI and agent-building skills, such as working with large language models, basic tool use, and retrieval-augmented generation, to support business use cases that require AI and data platform features. 4. Serves as a visible ambassador for data and AI across the organization. 5. Implements data quality checks and validations within pipelines to ensure accuracy, consistency, and completeness; partners with leadership on data governance practices. 6. Optimizes data pipelines and processing workflows for performance, scalability, and efficiency; monitors and tunes data systems and identifies and resolves performance bottlenecks. 7. Collaborates with data scientists and analysts to optimize models and algorithms for data quality, security, and governance; supports delivery and educates end users on data products. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [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) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)