Data Engineer-Retail and Commerce Experience

About MathCo®

MathCo® (TheMathCompany) is a global Enterprise AI and Analytics company trusted by Fortune 500 and Global 2000 organizations for data-driven decision-making. We build scalable data platforms, analytical workflows, and enterprise AI foundations that power transformation across retail and consumer businesses.

Role Overview

We are seeking Data Engineers to build scalable data pipelines, semantic retrieval systems, feature stores, and cloud-native data architectures for leading B2C Retail clients.

You will work extensively within Google Cloud Platform (GCP) — including BigQuery , Vertex AI , Cloud Storage , and Dataflow — to enable enterprise-grade analytics and AI applications.

This is a hybird role in Atlanta .

Key Responsibilities

Data Engineering & Pipelines

• Build scalable, production-grade ETL/ELT pipelines using Python, SQL, and GCP-native services.
• Develop semantic retrieval , vector search , and feature engineering workflows supporting enterprise AI systems.
• Design and optimize BigQuery data models, partitioning strategies, and performance tuning.
• Implement data quality , validation , and monitoring frameworks for high-reliability retail data environments.

Cloud-Native Architecture (GCP)

• Work extensively with:
• BigQuery (data modeling, analytics, feature stores)
• Vertex AI (feature pipelines, embeddings, model integration)
• Cloud Storage , Cloud Functions , Dataflow , Pub/Sub
• Build CI/CD workflows using GitHub Actions for data pipelines and cloud deployments.

AI-Enabled Data Workflows

• Support RAG systems, vector databases, and LLM-powered analytics by building robust data foundations.
• Partner with AI Engineers to integrate structured and unstructured data into GenAI applications.
• Build metadata, lineage, and governance workflows aligned with enterprise standards.

Retail Domain Impact

• Build data solutions supporting merchandising, pricing, inventory, customer analytics, and digital commerce.
• Translate business requirements into scalable data architectures and analytical workflows.

Required Experience

• 4–7 years in data engineering, analytics engineering, or cloud engineering.
• Strong proficiency in SQL , Python , and cloud-native data pipelines.
• Hands-on experience with GCP , especially BigQuery , Cloud Storage , and Dataflow .
• Experience with feature engineering , predictive modeling support , or LLM/GenAI data preparation .
• Experience in Retail, Fashion Retail, or B2C Commerce strongly preferred.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.

Being a MathMagician

• Demonstrate ownership, curiosity, and craftsmanship in engineering.
• Contribute to reusable frameworks, accelerators, and best practices.
• Champion diversity, equity, and inclusion in team culture.