Senior Data Engineer

Job not on LinkedIn

🔥 15 hours ago

🏈 Alabama, Arizona, +30 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $94.1k - $150.6k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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SNHU Careers

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1932

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

SNHU Careers is the careers and hiring portal for Southern New Hampshire University, a nonprofit institution focused on transforming learners’ lives. The site promotes the university’s mission-driven culture, inclusive values, employee benefits (including remote work options and paid time off), and a wide range of job categories from academics and teaching to business operations, student support, marketing, and campus roles. It encourages talent community sign-ups and highlights professional development, diversity and equity initiatives, and flexible work arrangements.

📋 Description

• Design and build data pipelines for ingestion, transformation, and curation across enterprise systems • Implement data models and data layer structures according to enterprise architecture standards, including bronze, silver, and gold layers • Develop and maintain data assets supporting analytics, reporting, and AI/ML use cases • Ensure data quality, reliability, and performance across pipelines and data products • Collaborate with data architects, analysts, and product owners to deliver data solutions • Translate architectural patterns and requirements into production-ready pipelines and data products • Optimize data processing and storage for scalability and efficiency • Support movement and integration of data across systems and platforms • Troubleshoot and resolve pipeline issues, failures, and performance bottlenecks • Contribute to reusable components, implementation standards, and engineering best practices • Use AI-assisted development tools to design, develop, and troubleshoot data engineering solutions • Design and build AI-ready data solutions supporting Power BI, AI agents, AI models, and machine learning models • Perform other duties and responsibilities as assigned

🎯 Requirements

• 7+ years of experience in data engineering or related roles • Bachelor's degree in Computer Science, Data Engineering, or a related field • Experience building and maintaining data pipelines in enterprise environments • Proficiency in data engineering tools, programming languages, and frameworks • Experience implementing data models and transformation logic based on architectural design • Knowledge of data modeling, transformation, and orchestration concepts • Experience working within modern data ecosystems and cloud-based data platforms • Experience implementing medallion or layered data architectures in collaboration with data architects • Experience supporting analytics, reporting, or AI/ML-enabled data use cases • Experience working with Microsoft Fabric and Azure Databricks • Experience or working knowledge of AI-assisted development tools such as GitHub Copilot and Claude • Experience building AI-ready data solutions supporting Power BI, AI agents, AI models, and machine learning models • Familiarity with data quality, observability, and performance optimization practices • Employees must reside in and work from an approved state • Attendance, punctuality, and reliability are essential

🏖️ Benefits

• High-quality, low-deductible medical insurance • Low to no-cost dental and vision plans • 5 weeks of paid time off • Almost a dozen paid holidays • Employer-funded retirement • Free tuition program • Parental leave • Mental health and wellbeing resources • Reliable internet connection and a dedicated, properly equipped workspace required for remote employees