Data Engineer

🕒 May 18

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Stord

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

☁️ SaaS

🚗 Transport

🛍️ eCommerce

SaaS • Transport • eCommerce

Stord is a cloud supply-chain company that combines fulfillment network operations with integrated SaaS (OMS/WMS) to power omnichannel and DTC e-commerce brands. It provides warehousing, last-mile and transportation services, order routing, inventory management, and consumer-facing delivery tools to improve conversion, speed up fulfillment, and protect brand experience. Stord serves growing B2B and direct-to-consumer brands across food & beverage, beauty, apparel and other retail categories, offering a customizable fulfillment network and software platform to optimize costs and delivery performance.

📋 Description

• Design, develop, and maintain scalable and reliable data pipelines using modern data engineering tools and technologies • Help drive the re-architecture of our data warehouse to improve performance, scalability, and data quality • Implement data cleansing, transformation, and validation processes to ensure data accuracy and consistency • Collaborate with other engineers and stakeholders to define data requirements and develop data models • Build and maintain data infrastructure on GCP, including data lakes, data warehouses, and data pipelines • Optimize data storage and retrieval for performance and cost efficiency • Monitor data pipeline performance and troubleshoot issues • Implement data security and governance best practices • Prepare and transform data for machine learning models, ensuring data quality and consistency • Enable data access for machine learning algorithms and tools • Assist with basic data analysis and reporting tasks to support the AI team • Work with the engineering team to support ML models • Provide technical guidance and mentorship to the data team • Foster a culture of innovation and collaboration within the data team • Collaborate with cross-functional teams to integrate ML solutions into the Stord platform • Drive data democratization and promote data-driven decision-making

🎯 Requirements

• 5+ years of experience in data engineering or a related field • Proven experience building and maintaining data pipelines and data warehouses • Experience with cloud platforms, preferably GCP • Experience with SQL and data modeling • Experience with data transformation tools such as dbt, or similar • Strong proficiency in SQL and Python • Experience with data pipeline tools (e.g., Apache Airflow, Prefect, or similar) • Experience with data warehousing technologies (e.g., BigQuery, Snowflake) • Familiarity with data lake concepts and technologies • Understanding of data engineering best practices • Understanding of basic machine learning concepts, data preparation techniques, and model evaluation • Experience with version control systems (e.g., Git)

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Bonuses • Stock options • Equipment allowances • Wellness programs