Data Platform Engineer
Competitive
You'll complete your application on the employer's website.
Competitive
You'll complete your application on the employer's website.
Job type
Salary
Competitive
Location
Sector
Posted
30+ Days Ago
DelRicht Research is a national network of integrated clinical research sites embedded within physicians' practices and supported by a centralized team. The Data Platform Engineer will design, build, and maintain the company's data platform, cloud infrastructure, integrations, and AI-powered applications on Google Cloud. The role partners with data scientists and business stakeholders to deliver reliable, scalable, automated solutions across operational systems.
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 Pipelines, Google Cloud Platform (GCP), Cloud Run, Cloud Functions, Cloud Storage, Google Cloud IAM, REST APIs, Webhooks, CI/CD, Service Account Security, Vertex AI, Gemini API, Document AI, LLM Tooling, Fivetran, Salesforce Integration, Google Apps Script, Terraform, Looker, Airflow, Docker, Independent project ownership
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
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