Data Engineer

🕒 May 18

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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👻 Ghost score 45%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Stord

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2019

💼 Consulting

🍽️ Food & Beverage

🏥 Healthcare

Consulting • Food & Beverage • Healthcare

Stord is a company that provides cloud supply chain solutions for direct-to-consumer (DTC) and omnichannel brands, specializing in fulfillment, last-mile delivery, and inventory management. By integrating best-in-class software with physical logistics operations, Stord aims to enhance the consumer experience from pre-purchase to post-delivery. The company supports over $5 billion in commerce annually and offers services such as order management, shipment protection, and inventory planning to streamline supply chains and improve brand loyalty. Stord also serves a wide range of industries, including health & beauty, nutrition & supplements, and apparel & accessories.

📋 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

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