Data Platform Engineer
Despite the 'Data Scientist' title, this is a high-ownership data/platform engineering role: the hire designs and runs DelRicht's entire data stack — BigQuery warehouse, ETL/ELT pipelines, GCP infrastructure (Cloud Run, Functions, IAM), integrations (Salesforce, CRIO, Fivetran), and AI automation built on Vertex AI, Gemini, Document AI, and LLM tools like Claude.
- Compensation
- Not disclosed
- Location
- Metairie, Louisiana
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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
Nice to have
- 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
Full description
About DelRicht Research
DelRicht Research is a national network of integrated clinical research sites embedded within physicians’ practices that offer the benefit of a dedicated research team with the support of a centralized team.
Our clinical trials provide new treatment options for our patients, and ultimately our goal is to move medicine forward by getting new medications FDA approved. Presently our network stretches across 33 clinical research sites throughout the United States in 18 states.
As DelRicht scales, technology and data are becoming central to how we operate. We are building a modern, integrated data and AI platform — and this role is a core part of that foundation.
The Role
This is a high-ownership engineering role for someone who thinks in systems. You will be responsible for designing, building, and maintaining DelRicht's data platform, cloud infrastructure, integration architecture, and AI-powered applications — working across every layer from source systems to operational tools.
Our environment is built on Google Cloud Platform and the broader Google ecosystem. The ideal candidate is deeply comfortable in that stack and brings hands-on experience building AI-augmented workflows using tools such as Vertex AI, Gemini API, Document AI, and LLM-based tooling including Claude and Claude Code.
You will work directly with our existing Data Scientists and business stakeholders to turn operational problems into reliable, scalable, automated solutions.
What You'll Own
Data Platform & Architecture
- 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
Cloud Infrastructure & DevOps
- 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