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Full-time

Data Platform Engineer

Competitive

New Orleans, LAIT & TechnologyPosted 30+ Days Ago

You'll complete your application on the employer's website.

Role overview

Job type

Full-time

Salary

Competitive

Posted

30+ Days Ago

Job description

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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