Senior Data Engineer (GCP)

About the role

As a Senior Data Engineer you will own Stord’s data ecosystem, designing, building, and maintaining scalable GCP‑based pipelines and infrastructure that turn raw operational data into reliable, governed, ML‑ready datasets for the business, while collaborating with data scientists, analysts, and engineers in a cloud‑native environment.

About the company

Stord is the Consumer Experience Company that powers seamless checkout through delivery for leading brands, offering a commerce‑enablement technology platform combined with high‑volume fulfillment services. It manages over $10 billion of commerce annually via fulfillment, warehousing, transportation, and software suites like OMS, Pre‑ and Post‑Purchase, and WMS, and is headquartered in Atlanta with facilities across the US, Canada, and Europe.

Requirements

• 5+ years of data engineering experience, including at least three years in a cloud environment (preferably GCP)
• Expertise with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Storage, Cloud Functions, and Cloud SQL
• Strong SQL skills with experience writing complex queries for data extraction and analysis
• Hands‑on ETL development and workflow orchestration experience using tools such as Apache Airflow
• Proficiency in Python and/or Spark for data processing and pipeline development
• Experience building streaming data pipelines (e.g., Pub/Sub, Dataflow) and batch processing
• Solid understanding of data warehousing concepts, large datasets, and query optimization
• Working knowledge of data governance, security, and compliance in a cloud environment
• Understanding of ML concepts and data preparation for ML applications, with interest in agentic AI tooling
• Strong analytical, problem‑solving, and troubleshooting abilities with attention to detail
• Clear, confident communication and ability to collaborate across teams
• Bachelor’s degree in computer science or a comparable field, or equivalent experience
• GCP Professional Data Engineer or Cloud Architect certification
• Experience with ML infrastructure on GCP, such as AI Platform and TensorFlow
• Familiarity with DevOps/MLOps practices including CI/CD, infrastructure as code (Terraform), and containerization (Kubernetes, Docker) on GCP
• Experience with other data processing frameworks such as Apache Spark
• Background in logistics, supply chain, 3PL, or warehouse/fulfillment technology
• Experience working on a distributed team