Data Engineer-Retail and Commerce Experience

MathCo is seeking Data Engineers to build scalable data pipelines, semantic retrieval systems, feature stores, and cloud-native data architectures for B2C retail clients. The role focuses on GCP-based data engineering and supporting enterprise analytics and AI applications, including GenAI workflows.

Responsibilities

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

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

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

Build data solutions supporting merchandising, pricing, inventory, customer analytics, and digital commerce

Translate business requirements into scalable data architectures and analytical workflows

Demonstrate ownership, curiosity, and craftsmanship in engineering

Contribute to reusable frameworks, accelerators, and best practices

Champion diversity, equity, and inclusion in team culture

Preferred

Experience in Retail, Fashion Retail, or B2C Commerce strongly preferred

Retail Experience

Fashion Retail Experience

B2C Commerce Experience

Benefits

Hybrid role in Atlanta.

Company

Enterprise AI and analytics services with custom data products

Chicago, Illinois, USA

https://mathco.com/

Founded in 2016

1001-5000 employees

Qualifications

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

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Demonstrate ownership, curiosity, and craftsmanship in engineering

Contribute to reusable frameworks, accelerators, and best practices

Champion diversity, equity, and inclusion in team culture

Experience in Retail, Fashion Retail, or B2C Commerce strongly preferred

4–7 years in data engineering, analytics engineering, or cloud engineering.

Required skills

SQL, Python, Google Cloud Platform (GCP), BigQuery, Cloud Storage, Dataflow, Data Engineering, Cloud-Native Data Pipelines, Feature Engineering, Predictive Modeling, LLM/GenAI Data Preparation, Retail and B2C Commerce

Experience

4-7 years