Data Platform Engineer

DelRicht Research is building a modern, integrated data and AI platform for its clinical research operations. The Data Platform Engineer will design, build, and maintain the data platform, cloud infrastructure, integrations, and AI-powered applications, working with data scientists and business stakeholders to deliver reliable, scalable solutions.

Responsibilities

• Maintain and evolve DelRicht's centralized BigQuery data warehouse — schemas, datasets, data models, and access controls
• Build and maintain ETL/ELT pipelines connecting clinical, operational, financial, and CRM source systems
• Design and implement dev, staging, and production environment structure across the data platform
• Establish data governance, documentation, and pipeline monitoring standards
• Optimize BigQuery performance, query structure, and cost management
• Partner with analysts to build trusted, reusable data models rather than one-off datasets
• Design and maintain GCP infrastructure across Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, Pub/Sub, and IAM
• Build and own CI/CD pipelines for data and application deployments
• Establish infrastructure-as-code practices and environment parity (dev → staging → production)
• Manage service account security, least-privilege access, and GCP IAM governance
• Monitor pipelines, set alerting, and maintain platform reliability
• Build and maintain AI-powered pipelines and applications using Vertex AI, Gemini API, Document AI, and related Google AI services
• Work fluently with LLM-based development tools including Claude and Claude Code as part of day-to-day engineering workflows
• Develop automation that replaces manual, spreadsheet-driven processes with scalable, reliable systems
• Evaluate and integrate emerging AI tooling where it creates genuine operational leverage
• Build and maintain integrations across operational systems including CRIO, Salesforce, Greenhouse, and financial platforms
• Design scalable API integrations using REST, webhooks, and managed platforms such as Fivetran
• Own integration reliability, monitoring, and failure handling
• Maintain and improve MuleSoft or successor integration middleware where applicable
• Build automation and lightweight applications integrated with Google Sheets, Drive, Gmail, and Workspace APIs
• Migrate manual Sheets-based workflows to purpose-built, maintainable solutions
• Develop advanced Apps Script solutions as operational bridges while longer-term platform solutions are built
• Build internal tools and lightweight applications that support operational teams
• Write clean Python and/or Node.js backend code for services, APIs, and automation
• Develop simple front-end interfaces where needed — comfort with React or equivalent is a plus, but this is not primarily a frontend role

Preferred

• Hands-on experience with Vertex AI, Gemini API, Document AI, or comparable AI/ML cloud services
• Experience working with LLM-based tooling (Claude, Claude Code, OpenAI, or similar) in a production or near-production context
• Experience with Fivetran or comparable managed integration platforms
• Salesforce integration experience — APIs, data model understanding, or middleware
• Looker or Looker Studio dashboard and data model development
• Google Apps Script development
• Infrastructure-as-code experience (Terraform or Cloud Deployment Manager)
• Experience in healthcare, clinical research, or another regulated industry
• Familiarity with HIPAA and clinical data privacy requirements
• Experience with data orchestration tools such as Airflow or comparable
• Docker and containerization experience
• Frontend development experience (React, TypeScript)
• Experience with n8n or similar workflow automation platforms
• Vertex AI
• Gemini API
• Document AI
• AI/ML cloud services
• LLM-based tooling
• Claude
• Claude Code
• OpenAI
• Production AI/LLM implementation
• Fivetran
• Managed integration platforms
• Salesforce integration
• Salesforce APIs
• Salesforce data modeling
• Middleware
• Looker
• Looker Studio
• Dashboard development
• Data model development
• Google Apps Script
• Infrastructure as code
• Terraform
• Cloud Deployment Manager
• Healthcare industry experience
• Clinical research experience
• Regulated industry experience
• HIPAA
• Clinical data privacy
• Data orchestration
• Apache Airflow
• Docker
• Containerization
• Frontend development
• React
• TypeScript
• n8n
• Workflow automation platforms

Company

• Clinical trial research sites for patient volunteers
• New Orleans, Louisiana, USA
• https://delrichtresearch.com/
• Founded in 2014
• 51-200 employees

Qualifications

• 4+ years of professional experience in data engineering, platform engineering, or a closely related technical discipline
• Strong, hands-on BigQuery experience — data modeling, SQL optimization, schema design
• Fluency in Python for data pipelines, API integrations, and automation
• Experience building and maintaining ETL/ELT pipelines in a cloud environment
• Hands-on GCP experience across Cloud Run, Cloud Functions, Cloud Storage, and IAM
• Experience building and maintaining REST API integrations and webhooks
• Strong understanding of environment management (dev/staging/production), CI/CD pipelines, and deployment practices
• Experience with service account security and cloud IAM governance
• Strong SQL skills and ability to write complex analytical queries
• Ability to take technical projects from business requirements through production deployment independently
• Strong communication skills — able to work directly with non-technical stakeholders
• Hands-on experience with Vertex AI, Gemini API, Document AI, or comparable AI/ML cloud services
• Experience working with LLM-based tooling (Claude, Claude Code, OpenAI, or similar) in a production or near-production context
• Experience with Fivetran or comparable managed integration platforms
• Salesforce integration experience — APIs, data model understanding, or middleware
• Looker or Looker Studio dashboard and data model development
• Google Apps Script development
• Infrastructure-as-code experience (Terraform or Cloud Deployment Manager)
• Experience in healthcare, clinical research, or another regulated industry
• Familiarity with HIPAA and clinical data privacy requirements
• Experience with data orchestration tools such as Airflow or comparable
• Docker and containerization experience
• Frontend development experience (React, TypeScript)
• Experience with n8n or similar workflow automation platforms

Required skills

• BigQuery, SQL, Python, ETL/ELT Pipeline Engineering, Google Cloud Platform (GCP) Cloud Run, Google Cloud Platform (GCP) Cloud Functions, Google Cloud Platform (GCP) Cloud Storage, Google Cloud Platform (GCP) IAM, REST API Integrations, Webhooks, CI/CD, Vertex AI, Gemini API, Document AI, LLM Development Tools Claude, LLM Development Tools Claude Code

Preferred skills

• Looker or Looker Studio dashboard and data model development, Google Apps Script development, Docker and containerization experience, Frontend development experience (React, TypeScript), Experience with n8n or similar workflow automation platforms, New Orleans, Louisiana, USA, https://delrichtresearch.com, Growth Stage, Leadership Team, Drew Ryan, Chief Financial Officer, Sean R., Chief Operating Officer, Company data provided by, AI Tools, Customize Your Resume, Maximize your interview chances, Build Cover Letter, Make your application stand out, Analyze How Well You Fit, Understand your strength & weakness

Experience

• 4+ years