Senior Data Engineer

🔥 4 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Overhaul

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

🍽️ Food & Beverage

🏥 Healthcare

💼 Consulting

Food & Beverage • Healthcare • Consulting

Overhaul is a global leader in in-transit supply chain risk management and actionable intelligence, providing a comprehensive platform that offers risk monitoring, visibility, and insurance solutions. By leveraging real-time data and innovative technology, Overhaul ensures cargo protection and enhances supply chain resilience, making it formidable against cargo theft and loss. Their services cater to various industries, including healthcare, logistics, consumer goods, and pharmaceuticals, facilitating seamless operation of supply chains for their clients.

📋 Description

• Architect, build, and maintain scalable, enterprise-grade data systems powering data products and capabilities • Design and maintain streaming data pipelines using Databricks and Spark • Create ML pipelines to feed data and update a variety of models • Develop ML models to enhance predictive analytics and support decision-making across departments • Own operational excellence for data pipelines and domains • Enable analytics functionality and an AI platform for AI-driven product innovation • Improve streaming data handling and data quality • Collaborate with teams, provide and receive candid feedback, and contribute across the software development lifecycle • Automate, test, document, and support CI/CD processes

🎯 Requirements

• Experienced and passionate Senior Data Engineer • Strong product ownership and intuition for using data in business decisions • Mastery of Python and SQL • Strong background in distributed data processing or software engineering of data services • Familiarity with big data technologies such as Spark • Experience working with web-scale datasets • Experience with cloud-based data lake tools • Experience designing and implementing data pipelines • Experience with Python and SparkSQL/Spark • Passion for automation, testing, CI/CD, documentation, and data quality • Ability to independently learn new technologies • Ability to work independently and collaborate in a rapidly changing environment with ambiguous requirements • Azure data tools experience, such as Data Lake, Synapse, or Fabric, is a plus • Power BI experience is a plus • BS in Computer Science or a related field preferred, but not required

🏖️ Benefits

• Top employee health and well-being benefits • Care giver/adoption/family leave • Flexible Time Off Policy • Casual dress • Perks and discounts through employee assistance program