Are you a data enthusiast with a passion for solving complex problems and unlocking the power of information? Join Maryville University's Office of Strategic Information as a Full-time Data Engineer and play a pivotal role in shaping the future of data-driven decision-making.

In this dynamic role, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures that facilitate the seamless flow of information across the university. You will collaborate closely with cross-functional teams to understand their data needs, translate them into technical solutions, and ensure the integrity and availability of data for analysis and reporting.

**Key Responsibilities:**

- Design and implement robust data ingestion, transformation, and loading processes using cutting-edge technologies and best practices.
- Develop and maintain efficient data warehousing and data lake solutions to enable advanced analytics and reporting.
- Collaborate with data analysts, scientists, and stakeholders to understand their data requirements and provide tailored solutions.
- Automate data workflows and monitor data quality to ensure accuracy and consistency across various systems.
- Continuously optimize and improve existing data pipelines and architectures for enhanced performance and scalability.
- Stay up-to-date with emerging data technologies and trends, and contribute to the development of new strategies and solutions.

**Qualifications:**

- Bachelor's degree in Computer Science, Information Technology, or a related field; a Master's degree is preferred.
- Proven experience in data engineering, with a strong understanding of data modeling, ETL processes, and data warehousing principles.
- Experience with ETL tools and techniques; specifically including SQL Server Integration Services (SSIS), Mulesoft, and/or Informatica
- Proficiency in programming languages such as Python, SQL, and familiarity with data processing frameworks (e.g., Apache Spark, Hadoop).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and related data services.
- Experience with data warehousing and data lake solutions (e.g., Amazon Redshift, AWS S3, Azure, Snowflake)
- Experience with data visualization and dashboard tools (e.g., Tableau, Power BI) preferred.
- Experience with Salesforce Data models (e.g. Marketing Cloud, Data Cloud, and Education Cloud) preferred.
- Strong problem-solving skills and the ability to think critically and analytically.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical audiences.

Join Maryville University and be part of a dynamic team that values innovation, collaboration, and continuous learning. We offer a competitive compensation package, excellent benefits, and opportunities for professional growth and development.

If you are passionate about data engineering and eager to contribute to a data-driven culture, we encourage you to apply today!