Data Engineer – Data & AI Applications

🕒 2 days ago

🏄 California – Remote

🏄 California – Remote

💵 $120k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Application Engineer

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Capital Project Intelligence

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

⚡ Energy

🤖 Artificial Intelligence

🤝 B2B

Energy • Artificial Intelligence • B2B

Capital Project Intelligence is a B2B engineering and data consultancy focused on utility and infrastructure clients. The firm delivers AI-enabled electrical engineering, automation, data engineering, QA/QC, knowledge management, information system design, document controls, and PMO services to lower costs, reduce risk, and accelerate project delivery. They combine industry experience, automation, and change-management best practices to ensure organizational buy-in across the project lifecycle.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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