Data Engineer at RNGD in Metairie, LA

About the Company

RNGD is a rapidly scaling organization emerging as a nationally recognized leader in construction through our unique Renegade mindset focused on innovation, creativity, and culture. The team is made up of a highly engaged group of seasoned professionals and emerging leaders. We are creators who believe that what we build drives the growth of our cities and that to fulfill our mission, we must constantly challenge the old way of doing things. Headquartered in New Orleans, Louisiana, we thrive on building communities, building teams, building leaders, and growing the business throughout the Southeast region with additional offices in Mississippi, Tennessee, and Alabama.

About the Role 

We are seeking a skilled Data Engineer to join our Analytics team, in-person in our Metairie Headquarters office. This role is responsible for designing, building, and maintaining reliable data pipelines and integrations that support enterprise reporting, analytics, and operational systems. The Data Engineer will work closely with analytics, business, and technology teams to evolve our data architecture, integrate internal and external systems, and ensure data is trustworthy, accessible, and scalable.

Core Responsibilities

• Data Pipeline & Platform Development

• • Design, develop, and maintain scalable ELT data pipelines across cloud data platforms
  • Build and improve data models and transformations using dbt, including versioned deployments and environment-based changes
  • Orchestrate and monitor workflows using tools such as Prefect
  • Optimize pipeline performance, reliability, and observability

• Data Architecture & Modeling

• • Contribute to the evolution of the enterprise data architecture alongside analytics and engineering teammates
  • Design and maintain logical and physical data models that support analytics and reporting use cases
  • Assist with architectural updates by deploying dbt model changes and pipeline enhancements

• System Integration & Middleware

• • Design and maintain integrations between internal and third‑party systems using APIs
  • Develop system integrations via a middleware or integration platform to support reliable data exchange
  • Implement and maintain API‑based ingestion processes using CRUD operations
  • Ensure data integrity, error handling, and security across integrations

• Database & Platform Management

• • Develop and maintain data solutions using Snowflake, Databricks, or another relational database management system (RDBMS)
  • Write efficient SQL queries for data transformation, validation, and analysis
  • Monitor and support database performance and reliability

• Development & Operations

• • Develop Python scripts for data processing, automation, and integrations
  • Work with Docker or other containerization tools to support local development and deployment workflows
  • Collaborate using GitHub for version control, pull requests, code reviews, and CI/CD pipeline execution
  • Contribute to and maintain CI/CD workflows that support dbt deployments, data pipelines, and integrations

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related field
• Strong proficiency in Snowflake SQL, Databricks, or other database management systems
• Proven experience in Python programming for data engineering tasks
• Experience running CRUD commands in APIs
• Experience with cloud computing platforms, particularly Microsoft Azure
• Demonstrated ability to design and implement ELT pipelines and integrations
• Strong analytical and problem-solving skills with attention to detail
• Excellent understanding of data modeling and database design principles

Preferred Qualifications

• Experience with dbt for data modeling and transformation
• Experience with orchestration tools such as Airflow or Prefect
• Familiarity with Docker and containerized development workflows
• Working knowledge of Linux environments
• Strong experience using GitHub for source control, CI/CD workflows, and collaborative development
• Familiarity with construction or project-based business systems

Core Competencies

RNGD Values Alignment

• Exemplifies RNGD’s core values:
  • Renegade Mentality
  • Sweep Floors
  • Build Together
  • Honor Promises
• Values Driven
  • Embodies RNGD’s culture and principles in all technical work and team interactions
  • Demonstrates ownership, accountability, and integrity in data development and delivery
  • Ensures data solutions are built with trust, transparency, and long-term sustainability in mind
• Strategy & Analytics Focus
  
  • Aligns data engineering solutions with broader business strategy and analytics needs
  • Designs scalable data systems that enable actionable insights and informed decision-making
  • Translates complex data structures and pipelines into clear, usable outputs for stakeholders
  • Applies critical thinking to anticipate data challenges, dependencies, and downstream impacts
• Quality and Reliability Focused
  • Ensures accuracy, consistency, and integrity of data across pipelines and systems
  • Implements monitoring, validation, and testing practices to maintain high data quality
  • Proactively identifies and resolves issues to ensure reliability and performance
• Collaboration and Communication
  • Partners effectively with analytics, business, and technology teams to deliver data solutions
  • Builds strong relationships and fosters trust across cross-functional teams
  • Communicates technical concepts clearly to both technical and non-technical stakeholders
  • Actively listens and incorporates feedback to improve outcomes
• Process and Efficiency Driven
  • Continuously improves data workflows, pipelines, and development practices
  • Balances speed and precision to deliver high-quality solutions efficiently
  • Leverages automation, CI/CD, and best practices to streamline development and deployment

RNGD is an equal opportunity employer.