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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

Were looking for a Data Engineer that will be responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support RNGDs enterprise reporting, analytics, and operational systems. This role works closely with analytics, business, and technology teams to evolve the companys data architecture, integrate internal and external systems, and ensure data is accurate, accessible, and reliable. This position plays a critical role in enabling data-driven decision-making by developing robust data infrastructure, improving system connectivity, and supporting continuous innovation across the organization.

Core Responsibilities

• Data Pipeline and Platform Development

• • Design, develop, and maintain scalable ELT data pipelines across cloud-based data platforms.
  • Build and enhance data transformations and models using dbt, including version-controlled deployments and environment-based configurations.
  • Orchestrate and monitor data workflows using tools such as Prefect or similar orchestration platforms.
  • Optimize pipeline performance, reliability, and observability to ensure consistent data delivery.

• Data Architecture and Modeling

• • Contribute to the development and evolution of RNGDs enterprise data architecture.
  • Design and maintain logical and physical data models to support reporting, analytics, and operational use cases.
  • Support architectural improvements by implementing data model updates and pipeline enhancements.
  • Collaborate with analytics and engineering teams to ensure alignment between business needs and technical solutions.

• System Integration and Middleware

• • Design, develop, and maintain integrations between internal and third-party systems using APIs.
  • Implement and support middleware solutions to enable reliable and scalable data exchange.
  • Develop and maintain API-based data ingestion processes using CRUD operations.
  • Ensure data integrity, security, and error handling across all integrations.

• Database and Platform Management

• • Develop and maintain data solutions using Snowflake, Databricks, or other relational database management systems.
  • Write efficient and scalable SQL queries for transformation, validation, and analysis.
  • Monitor database performance and implement improvements to ensure reliability and efficiency.
  • Support ongoing maintenance and optimization of data platforms.

• Development and Operations

• • Develop Python scripts to support data processing, automation, and system integrations.
  • Utilize Docker or similar tools to support development and deployment workflows.
  • Collaborate using GitHub for version control, code reviews, and CI/CD execution.
  • Contribute to and maintain CI/CD pipelines supporting data workflows and deployments.
  • Operate within Linux-based environments for development, troubleshooting, and deployment.

Preferred Qualifications

• Bachelors degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
• Experience with Snowflake, Databricks, or other relational database platforms.
• Strong Python experience for data engineering and integration workflows.
• Experience developing and maintaining ELT pipelines and data workflows.
• Strong SQL skills and understanding of data modeling principles.
• Experience working in cloud-based environments.
• 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.
• Experience using GitHub for version control and CI/CD workflows.

• Familiarity with construction or project-based business systems.

Core Competencies

• RNGD Values Alignment
  • Exemplifies RNGDs core values:

• • • Renegade Mentality
    • Sweep Floors
    • Build Together
    • Honor Promises

• Analytical Thinking

• • Applies structured thinking to solve complex data and system challenges.
  • Evaluates data quality, performance, and reliability issues using logical analysis.
  • Develops solutions that support accurate and meaningful data insights.

• Technical Execution

• • Designs and implements scalable, efficient, and reliable data solutions.
  • Demonstrates strong proficiency in data engineering tools, platforms, and languages.
  • Maintains high standards for code quality, performance, and maintainability.

• Attention to Detail

• • Ensures accuracy and integrity across all data pipelines and systems.
  • Identifies and resolves inconsistencies, errors, and performance issues.
  • Maintains well-documented and organized data processes.

• Collaboration and Communication

• • Works effectively with cross-functional teams including analytics, operations, and leadership.
  • Communicates technical concepts clearly to both technical and non-technical stakeholders.
  • Supports team alignment through proactive communication and knowledge sharing.

• Adaptability and Innovation

• • Adapts to evolving technologies, tools, and business needs.
  • Continuously seeks opportunities to improve data systems and workflows.
  • Contributes to innovation in data architecture and enterprise analytics capabilities.

RNGD is an equal opportunity employer.