Data Engineer – Data & AI Applications

🕒 il y a 29 jours

🏄 California – Distant

🏄 California – Remote

💵 $120 000 - $135 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

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Capital Project Intelligence

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2020

💼 Conseil

⚡ Énergie

🤖 Intelligence artificielle

Consulting • Energy • Artificial Intelligence

Capital Project Intelligence est une société de conseil en ingénierie et en données B2B axée sur les clients dans les secteurs des services publics et des infrastructures. L'entreprise propose des services d'ingénierie électrique assistée par l'IA, d'automatisation, d'ingénierie des données, de contrôle qualité/assurance qualité (QA/QC), de gestion des connaissances, de conception de systèmes d'information, de gestion documentaire et de PMO pour réduire les coûts, diminuer les risques et accélérer la livraison des projets. Ils combinent l'expérience du secteur, l'automatisation et les meilleures pratiques de gestion du changement pour garantir l'adhésion organisationnelle tout au long du cycle de vie du projet.

Description

• The Data Engineer plays a key role in supporting analytics, reporting, data workflows, and AI-enabled application development. • Build and maintain data workflows, pipelines, automations, and application components that support analytics, reporting, and AI enabled use cases. • Support the development of AI enabled tools, prototypes, and applications by preparing data, integrating APIs or AI services, and implementing reusable technical components. • Collaborate with stakeholders and the Technical Lead to understand data, reporting, application, and AI workflow requirements and translate them into practical technical solutions. • Design, monitor, and optimize ETL processes, data workflows, and automation scripts for reliability, accuracy, and maintainability. • Develop and enforce data validation, lineage, quality checks, and documentation across reporting, analytics, and AI application workflows. • Ensure data is organized, clean, secure, and accessible for analytics, reporting, dashboarding, and application use cases. • Build, maintain, or support Power BI data models, dashboards, reports, and other business facing data products as needed. • Create and maintain documentation of pipeline logic, data flow, code, prompts, assumptions, dependencies, and technical decisions. • Support lightweight user facing tools, prototypes, interfaces, or interactive outputs that help users consume data and AI generated results effectively. • Work with the Technical Lead to scope assigned work, clarify requirements, identify risks, and align technical decisions with broader project and system priorities. • Use version control, automation, reusable code patterns, and development best practices to support maintainable delivery. • Communicate progress, blockers, technical findings, and tradeoffs clearly to team members, stakeholders, and project leadership. • Proactively identify opportunities to improve reporting processes, data workflows, AI application components, documentation, and delivery efficiency. • Support data integrity, security, quality, and governance expectations throughout analytics, reporting, and application development work.

🎯 Exigences

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Business Analytics, Engineering, or a related field, or equivalent work experience. • 5+ years of relevant technical experience across data engineering, data analysis, analytics engineering, application development, automation, business intelligence, or related technical work. • Proficiency in SQL and Python for data processing, automation, analysis, and application support. • Experience building or maintaining data pipelines, ETL processes, data workflows, automation scripts, dashboards, reports, or internal tools. • Experience preparing, cleaning, validating, transforming, and documenting data for analytics, reporting, and application use cases. • Experience supporting downstream analytics and reporting needs, including Power BI dashboards, reports, data models, or similar business intelligence products. • Familiarity with AI enabled tools, generative AI workflows, LLM based applications, prompt workflows, AI assisted automation, or API based AI service integration. • Experience integrating APIs, databases, files, external services, or structured and semi structured data sources into technical workflows. • Understanding of database management, data modeling, data quality, data validation, and data integrity best practices. • Demonstrated use of version control, documentation standards, reusable code practices, and process automation. • Ability to own assigned technical workstreams with minimal oversight, including requirements clarification, build execution, validation, documentation, and handoff. • Ability to communicate technical information, data findings, limitations, risks, and recommendations clearly in writing and verbally. • Strong analytical thinking, problem solving skills, attention to detail, and continuous improvement mindset. • Experience collaborating effectively with Technical Leads, analysts, developers, stakeholders, and cross functional or matrixed teams.

🏖️ Avantages

• 2 weeks paid time off • Home equipment allowance (monitors, stand-up desk, etc.) • Annual education allowance • 401(k) with company matching • Medical, Dental, Vision, and Life insurance