Senior Data Engineer

🔥 0 minutes ago

🏈 Alabama, Alaska, +26 more states – Remote

🏈 Alabama – Remote 🐻 Alaska – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌪️ Oklahoma – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Sedgwick

WebsiteLinkedInAll Job Openings

10,000+ employees

🏗️ Construction

💼 Consulting

🏥 Healthcare

Construction • Consulting • Healthcare

Sedgwick is a global provider of technology-enabled risk, benefits, and integrated business solutions. They help people and organizations by managing and mitigating risk with solutions in accident, health, disability, unemployment compensation, and liability claims administration, among others. Sedgwick offers services such as claims administration, building consulting, forensic accounting, and forensic engineering. Their specialties include property restoration, brand protection, and loss prevention across several industries, including agriculture, construction, and environmental sectors. The company emphasizes diversity, equity, and inclusion (DEI) as well as environmental, social, and governance (ESG) practices.

📋 Description

• Design, build, and maintain scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-premises and cloud sources • Serve as a core developer for the Snowflake data platform and support platform performance, data modeling, and storage structures • Architect and build transformation pipelines delivering high-quality data inputs to Snowflake and dbt AI features • Design and maintain semantic layers and metadata models supporting Self-Service 2.0 natural-language user interfaces • Establish reference architectures, reusable templates, and CI/CD best practices for decentralized line-of-business data products • Provide direct management and career mentorship to one data engineer, with potential for team growth • Guide decentralized data analysts in maturing their engineering practices • Drive adoption of dbt for data transformation • Evaluate integration of AWS and Azure cloud data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, to optimize data flow • Perform other duties as assigned • Support the organization’s quality programs • Travel as required

🎯 Requirements

• Bachelor’s degree in computer science, information systems, data engineering, or a related field from an accredited college or university preferred • Equivalent combination of education, professional certifications, and relevant work experience will be considered • Five (5)+ years of dedicated data engineering experience, with a proven record of building production-grade data pipelines, required • Advanced hands-on experience with Snowflake architecture, performance tuning, and data sharing required • Experience moving data across hybrid environments, including on-premises to cloud, using batch, streaming, and event-driven patterns required • Experience building or maintaining semantic layers and structuring data for downstream AI, large language model, or natural-language search capabilities preferred • Advanced knowledge of Snowflake architecture, performance tuning, data modeling, storage structures, and secure data sharing • Strong knowledge of scalable batch, real-time streaming, and event-driven data pipeline architecture • Experience with semantic layers, including dbt Semantic Layer and Snowflake Cortex or semantic definitions • Strong Python skills, particularly in cloud environments and Azure Functions used for data workloads • Strong SQL capabilities • Experience with dbt highly preferred • Experience with Azure data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, preferred • Familiarity with AWS data ecosystems preferred • Knowledge of reference architecture, reusable pipeline patterns, templates, and CI/CD practices • Collaborative coaching and leadership skills, with the ability to teach, establish governance, and strengthen engineering practices across cross-functional teams • Strong analytical, problem-solving, organizational, and communication skills • Ability to meet or exceed performance competencies • Ability to handle work-related stress and multiple priorities simultaneously • Ability to meet deadlines • Travel as required

🏖️ Benefits

• Work-life balance • Career growth opportunities • Caring culture • Reasonable accommodations when applicable and appropriate • Equal opportunity workplace • Drug-free workplace