Data Engineer – Data & AI Applications

This is a fully remote position, open to applicants in California.

📋 Description

• The Data Engineer is instrumental in facilitating analytics, reporting, data workflows, and the development of AI-enabled applications.

• Create and sustain data workflows, pipelines, automations, and application components that support analytics, reporting, and AI-driven use cases.

• Assist in the development of AI-enabled tools, prototypes, and applications by preparing data, integrating APIs or AI services, and deploying reusable technical components.

• Collaborate with stakeholders and the Technical Lead to comprehend data, reporting, application, and AI workflow requirements, translating them into actionable technical solutions.

• Design, monitor, and enhance ETL processes, data workflows, and automation scripts ensuring reliability, accuracy, and maintainability.

• Develop and enforce data validation, lineage, quality checks, and documentation across reporting, analytics, and AI application workflows.

• Ensure data is well-organized, clean, secure, and accessible for analytics, reporting, dashboarding, and application use cases.

• Construct, maintain, or support Power BI data models, dashboards, reports, and other business-oriented data products as necessary.

• Create and maintain documentation concerning pipeline logic, data flow, code, prompts, assumptions, dependencies, and technical decisions.

• Support lightweight user-facing tools, prototypes, interfaces, or interactive outputs that enable users to effectively consume data and AI-generated results.

• Work alongside the Technical Lead to define assigned tasks, clarify requirements, identify risks, and align technical decisions with broader project and system priorities.

• Utilize version control, automation, reusable code patterns, and development best practices to ensure maintainable delivery.

• Communicate updates, obstacles, technical insights, and trade-offs clearly to team members, stakeholders, and project leadership.

• Proactively identify opportunities to enhance reporting processes, data workflows, AI application components, documentation, and delivery efficiency.

• Uphold data integrity, security, quality, and governance standards throughout analytics, reporting, and application development tasks.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Data Engineering, Information Systems, Business Analytics, Engineering, or a related discipline, or equivalent professional experience.

• Over 5 years of pertinent technical experience in data engineering, data analysis, analytics engineering, application development, automation, business intelligence, or similar technical roles.

• Expertise in SQL and Python for data processing, automation, analysis, and application support.

• Proven experience in building or maintaining data pipelines, ETL processes, data workflows, automation scripts, dashboards, reports, or internal tools.

• Skilled in preparing, cleaning, validating, transforming, and documenting data for analytics, reporting, and application purposes.

• Experience in supporting downstream analytics and reporting requirements, including Power BI dashboards, reports, data models, or comparable 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.

• Experienced in integrating APIs, databases, files, external services, or structured and semi-structured data sources into technical workflows.

• Knowledge of database management, data modeling, data quality, data validation, and data integrity best practices.

• Demonstrated ability to use version control, adhere to documentation standards, apply reusable code practices, and implement process automation.

• Capability to manage assigned technical workstreams with minimal oversight, including requirements clarification, build execution, validation, documentation, and handoff.

• Proficient in conveying technical information, data insights, limitations, risks, and recommendations clearly in both written and verbal forms.

• Strong analytical thinking, problem-solving abilities, attention to detail, and a 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