Senior Data Engineer

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide.

Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.
Make an impact — from near or far

At SNHU, you'll have the option to work remotely in the following states: 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.

We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.
The opportunity

The Senior Data Engineer designs and delivers scalable data pipelines and data products that support enterprise analytics, reporting, and AI/ML capabilities, as well as the reliable movement and availability of data across systems. This role requires knowledge of and experience using AI tools (e.g., GitHub Copilot, Claude) to help develop solutions, as well as experience building AI-ready data solutions that support analytics and reporting platforms such as Power BI and enable AI agents, AI models, and machine learning (ML) models. This role implements data solutions aligned to established architectural standards and ensures high-quality, reliable data is available across the organization.
Primary Duties and 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.

What We're Looking For:

- 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