Data Engineer

RNGD•Metairie, LA

2d•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
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
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
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