Hello everyone!

 

We’re currently hiring an experienced Data Engineer for a leading data and AI consulting organization delivering enterprise-grade solutions to clients across multiple industries. This is a full-time remote role within the United States.

 

What You’ll Do:

— Define and implement scalable data architecture solutions for enterprise-grade data pipelines

— Lead the design and optimization of cloud-based data platforms and applications

— Build and improve ETL/ELT workflows focused on performance, scalability, and reliability

— Establish and enforce data governance, security, and access control standards

— Drive CI/CD practices and Infrastructure as Code (IaC) adoption across data systems

— Work directly with clients to design solutions and guide technical decision-making

— Mentor engineers and influence engineering best practices across teams

— Ensure data systems are optimized for cost, performance, and maintainability

 

What We’re Looking For:

— 7+ years of experience in Data Engineering

— 5+ years of hands-on experience with cloud platforms such as AWS, Azure, or GCP

— Strong proficiency in Python and advanced SQL

— Deep expertise in ETL/ELT pipeline design and optimization

— Strong understanding of dimensional data modeling and data architecture principles

— Experience implementing CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, etc.)

— Familiarity with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric

— Strong understanding of data security, governance, and access control best practices

— Excellent communication skills with proven consulting or client-facing experience