Data Jobs in Metairie, LA

1 job found

Include remote jobs

Today

Data Scientist

DelRicht Research Metairie, LA

Metairie, LA

Today

Full time Artificial Intelligence Cloud Cloud Data Platform

Apply Now

Job Description

DelRicht Research is building a modern, AI-native data platform for clinical research, with a role that centers on real ownership. You will design, build, and maintain the data platform, cloud infrastructure, integration architecture, and AI-powered applications on Google Cloud Platform. The work connects operational teams with scalable automation, helping replace manual, spreadsheet-driven workflows with dependable systems that support everyday operations.

This onsite position in Metairie, LA focuses on reliable, scalable engineering across the full lifecycle, from environment structure and CI/CD to monitoring, governance, and production deployments.

Responsibilities

Maintain and evolve DelRicht’s centralized BigQuery warehouse including schemas, datasets, data models, and access controls
Build and maintain ETL/ELT pipelines connecting clinical, operational, financial, and CRM source systems
Design dev, staging, and production environment structure across the data platform
Establish data governance, documentation practices, and pipeline monitoring standards
Optimize BigQuery performance, query structure, and cost management
Partner with analysts to deliver trusted, reusable data models instead of one-off datasets
Design and maintain GCP infrastructure across Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, Pub/Sub, and IAM
Own CI/CD pipelines for data and application deployments
Apply infrastructure-as-code practices and environment parity (dev, staging, production)
Manage service account security using least-privilege access and GCP IAM governance
Monitor pipelines, implement alerting, and maintain platform reliability
Build AI-powered pipelines and applications using Vertex AI, Gemini API, Document AI, and related Google AI services
Use LLM-based development tools including Claude and Claude Code as part of day-to-day workflows
Develop automation that replaces manual spreadsheet-driven processes with scalable, reliable systems
Evaluate and integrate emerging AI tooling where it creates 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 apps 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 platform solutions are built
Build internal tools and lightweight applications that support operational teams
Write clean backend code in Python and/or Node.js for services, APIs, and automation
Provide simple front-end interfaces when needed, with comfort in React considered a plus

Requirements

4+ years of professional experience in data engineering, platform engineering, or a closely related technical discipline
Strong, hands-on BigQuery experience including data modeling, SQL optimization, and 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, 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, including working directly with non-technical stakeholders

Preferred Qualifications

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 production or near-production contexts
Experience with Fivetran or comparable managed integration platforms
Salesforce integration experience including 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 (nice to have)
Experience with data orchestration tools such as Airflow or comparable (nice to have)
Docker and containerization experience (nice to have)
Frontend development experience (React, TypeScript) (nice to have)
Experience with n8n or similar workflow automation platforms (nice to have)

How Success Is Measured

Within the first six months: develop a clear understanding of DelRicht’s full data and integration architecture; contribute meaningfully to pipeline reliability and environment structure; ship at least one automation or integration that materially reduces manual work for an operational team
Over the first year: become a trusted technical owner of DelRicht’s data platform; take projects independently from requirements to production; build AI-augmented workflows that scale with the business; help establish engineering standards supporting the company’s next stage of growth

Technologies

Google Cloud Platform, BigQuery, ETL/ELT, Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, Pub/Sub, IAM, CI/CD
Vertex AI, Gemini API, Document AI, LLM-based tooling, Claude, Claude Code
REST, webhooks, Fivetran, MuleSoft, Google Sheets, Drive, Gmail, Workspace APIs, Apps Script
Python, Node.js, React

Why DelRicht Research

Rare chance to have genuine ownership across an organization’s data and technology infrastructure as it is actively being built
Work on real operational problems and ship tools teams use every day
Define the technical architecture that carries the company forward
Build an AI-native data platform in clinical research where the work directly supports patient outcomes and advancement of medicine

View full job page →

Get Data Jobs in Metairie, LA alerts

New Data Jobs in Metairie, LA, daily.