Associate Engineer, Data

Essential Duties and Responsibilities / Platform Maintenance and Reliability

• Monitor and maintain automations and data pipelines built on Google Cloud Functions, Python, Google Apps Script, and App Sheet; identify, diagnose, and resolve failures and inconsistencies.
• Maintain and enhance internal web applications (React) deployed within the  platform, including their supporting APIs.
• Perform routine data quality work, including identifying and correcting duplicate records, broken references between boards, and inconsistent status values that affect downstream reporting and billing.
• Assist with testing, building, and deploying application releases in accordance with established procedures.

• Serve as the first point of contact for staff technology requests, including board configuration changes, new columns and automations, report requests, permissions adjustments, and data discrepancies; resolve routine requests and elevate complex issues with clear documentation.
• Develop small internal tools and views in response to recurring operational needs.
• Support staff onboarding to internal systems and maintain user-facing documentation.

• Contribute to the development of new applications, integrations, and AI-assisted workflows under the direction of the IT Director, taking on increasingly independent components over time.
• Use AI-assisted development tools (such as Claude Code, OpenAI Codex, or comparable LLM-based tools) to accelerate development, and validate, test, and safely integrate AI-generated code and content before it reaches production systems.
• Produce and maintain technical documentation for systems, automations, and procedures.
• Perform other related duties as assigned.

• One to three years of hands‑on technical experience; relevant internships, bootcamp training with substantive projects, or a demonstrable portfolio will be considered.
• Working knowledge of at least one general‑purpose programming language (Python or JavaScript preferred) and practical experience working with data through SQL, spreadsheets, or APIs.
• Experience building or maintaining a web application, automation, or integration.
• Hands‑on experience using AI coding assistants and large language model tools (for example Claude Code, OpenAI Codex, Cursor, or ChatGPT/Claude for technical work) as part of building, debugging, or documenting software, and the judgment to review and verify their output.
• Ability to investigate ambiguous problems independently and communicate findings and recommendations clearly, including to non‑technical staff.
• Strong written communication skills and a consistent practice of documenting work.
• Demonstrated attention to detail and sound judgment in handling sensitive information.
• Ability to work on‑site at our Long Beach location.

• Experience administering or building on  or a comparable work management platform.
• Exposure to Google Cloud Platform or Google Workspace administration.
• Experience with React, Node.js, or modern front‑end tooling.
• Prior experience in healthcare, behavioral health, or another HIPAA‑regulated environment.

(boards, automations, GraphQL API, custom views);
React and Vite;
Google Cloud Functions (Node.js and Python);
Google Workspace APIs, Apps Script, and App Sheet;
Python data scripts;
Vertex AI (Gemini);
Chrome extensions; AI-assisted development with Claude Code and comparable LLM tools. Candidates are not expected to have experience with every technology listed; the ability to learn new tools quickly is essential.