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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Analyst - **Company:** Workrise Technologies Inc. - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $110,781.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Computer Programming, Databases, Data Systems, Decision Support Systems, Python (Programming Language), Machine Learning, Power BI, Standard Sql, Cloud Platform System, Large Language Models, Prompt Engineering, Generative AI, Git, Information Technology, Data Management, Machine Learning Operations, Software Library - **Published:** August 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=25aa9f5002acb74a ## About the Role * Education: Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. * Experience: 6-8 years of progressive experience applying data science, advanced analytics, and AI/ML solutions to operational challenges, preferably within the energy sector. * Programming Skills: Advanced proficiency in Python and its core data science and machine learning libraries. * Domain Knowledge: Strong mastery of applied statistics, machine learning principles, and data modeling techniques. * Soft Skills: Proven ability to work independently within defined scopes, manage cross-functional relationships, and translate complex technical insights into clear strategic recommendations. Preferred Qualifications * Practical experience deploying Generative AI, Large Language Models (LLMs), or agent-based workflows within corporate settings. * Strong SQL proficiency for querying and managing operational and analytical databases. * Hands-on experience developing enterprise reporting dashboards (Power BI preferred). * Familiarity with cloud architectures (Azure preferred; AWS or GCP acceptable). * Prior experience in highly regulated, engineering, or audit-heavy operational environments. ## Description CROSS BORDER ROLE - Candidate will be required to travel to Calgary, Alberta for project requirements. The Business Data & AI Specialist (Engineering Analyst IV) within the Go-To-Market (GTM) Data & Systems Strategy division drives operational excellence by delivering applied data science, artificial intelligence/machine learning (AI/ML), and automation solutions. Operating within the gas transmission sector, this position directly supports key organizational priorities including reliability, regulatory compliance, asset management, and strategic decision support. Embedded within the Data & Systems Strategy team, the Specialist collaborates closely with operations, engineering, integrity, records, and asset management functions. The ideal candidate will translate operational challenges into actionable, auditable, and scalable data-driven solutions, combining robust technical execution with a precise understanding of the broader business context. Core Responsibilities * Business Stakeholder Alignment: Partner with cross-functional leaders across operations, engineering, integrity, and asset management to identify, prioritize, and scope data and AI opportunities. Translate operational questions into well-defined analytical models grounded in regulatory standards and business realities. * Data Management & Analysis: Perform acquisition, cleansing, transformation, and validation of structured and unstructured datasets. Conduct exploratory analyses to detect trends, operational anomalies, risk factors, and process improvements. * Advanced Analytics & AI Development: Design, execute, test, and refine machine learning models (classification, regression, clustering, NLP). Engineer Generative AI and agentic AI-based workflows, including prompt engineering and process automation. * Dashboarding & Communication: Deliver reproducible analyses and build business-facing dashboards (e.g., Power BI) to facilitate executive and operational decision-making. Communicate technical findings, model limitations, and recommendations effectively to non-technical stakeholders. * Software Quality & Governance: Write clean, modular, and secure Python code adhering to standard repositories (Git). Prepare thorough documentation to ensure knowledge transfer, audit readiness, and continuous operational support. * MLOps & Lifecycle Management: Support model deployment and basic MLOps practices, including tracking input/output integrity and tracking performance metrics over time. * Cross-Functional Collaboration: Work closely with technical teams, domain experts, and IT partners to continuously enhance, scale, and align business-owned data solutions. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [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) - [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) - [Are Software Engineer Wages Being Pushed Down? 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