Note: The job is a remote job and is open to candidates in USA. Southern New Hampshire University is an innovative, people-centered university focused on transforming lives through education. The Senior Data Engineer designs and delivers scalable data pipelines and data products that support enterprise analytics, reporting, AI/ML capabilities, and reliable data movement across systems. The role also implements architectural standards, ensures data quality and performance, and develops AI-ready solutions for platforms such as Power BI.
Responsibilities
- Design and build data pipelines for ingestion, transformation, and curation across enterprise systems
- Implement data models and data layer structures defined by enterprise architecture standards (e.g., bronze, silver, 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 the 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 (e.g., GitHub Copilot, Claude) to help design, develop, and troubleshoot data engineering solutions
- Design and build AI-ready data solutions that support analytics and reporting platforms such as Power BI, as well as AI agents, AI models, and machine learning (ML) models
- Attendance, punctuality, and reliability are essential functions of this role
- Other duties and responsibilities as assigned
Skills
- Employees must reside in, and work from, one of the above approved states
- 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 (e.g., GitHub Copilot, Claude) to support the design and development of data solutions
- Experience building AI-ready data solutions that support analytics and reporting tools such as Power BI, and enable AI agents, AI models, and machine learning (ML) models
- Familiarity with data quality, observability, and performance optimization practices
Benefits
- Option to work remotely in Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming
- 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
Company Overview
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