Cloud Data Engineer

Job Description Summary

This role plays a key part in sourcing transforming and delivering data from enterprise systems to data lakes and warehouses while supporting analytics and future data science initiatives through scalable and secure infrastructure. The position involves collaboration with a variety of stakeholders including data analysts and IT teams to ensure data is accessible reliable and actionable.

Essential Duties:

• Participate in Bentley Universitys data modernization initiatives by developing cloud-based data pipelines and analytics infrastructure that support data engineering analytics and predictive modeling needs.

• Build and maintain ETL/ELT processes to extract transform and load data from enterprise systems into cloud platforms such as Azure Synapse and Microsoft Fabric.

• Use programming languages such as SQL PL/SQL Python and R along with tools like Azure Data Factory Alteryx Power Query SnapLogic or Informatica to support data preparation transformation and integration activities.

• Develop reusable scripts and tools to streamline analytics workflows and improve data accessibility across teams.

• Collaborate with data users and analysts to design infrastructure that supports analytics and machine learning workflows including feature engineering pipelines and model output integration.

• Assist in deploying and scaling predictive models within Bentleys cloud environment to support initiatives such as student success analytics.

• Design and maintain data warehouse structures (e.g. star and snowflake schemas with fact bridge and dimension tables) using Slowly Changing Dimension (SCD) techniques in databases such as Azure SQL (serverless and dedicated) and Oracle.

• Partner with business stakeholders to clarify data and reporting requirements and ensure that pipelines meet evolving analytical needs.

• Monitor and troubleshoot data jobs and model pipelines to ensure data quality integrity and timely delivery.

• Implement logging alerting and monitoring processes to ensure data reliability and performance.

• Contribute to the development and maintenance of metadata management tools data catalogs and data dictionaries in collaboration with the Data Governance team.

• Support secure data access practices and collaborate with cloud engineering integration and security teams to ensure compliance and operational reliability.

Minimum Qualifications:

• Bachelors degree in Computer Science Data Science Information Systems or a related field.

• Minimum of three years of professional experience including at least two consecutive years in data engineering or a related technical role.

• Hands-on experience with the Azure data ecosystem such as Azure Synapse Microsoft Fabric and Azure Data Factory; experience with other cloud platforms (e.g. AWS or GCP) is a plus.

• Experience with data integration and pipeline development tools such as SnapLogic Informatica or Azure Data Factory to design automate and maintain data flows across multiple systems.

• Experience in data warehouse design and modeling including star/snowflake schemas and Slowly Changing Dimension (SCD) techniques using platforms such as Azure SQL or Oracle.

• Proficiency in SQL for query development and optimization.

• Hands-on experience with Python or R for data wrangling transformation and basic machine learning tasks.

• Strong understanding of ETL/ELT processes structured and semi-structured data and exposure to machine learning operations (MLOps) workflows and tools.

• Demonstrated ability to collaborate effectively with cross-functional teams including data analysts data scientists and IT professionals.

Preferred Qualifications:

• Experience supporting predictive analytics initiatives (e.g. churn models student success models forecasting).

• Familiarity with visualization tools such as Power BI or similar.

• Exposure to metadata management and data governance practices.

• Experience in higher education or a similar mission-driven environment.

• Understanding of Workday data structures particularly Workday Learning or Student is a plus.

Work Environment:

• Typical office setting with extended screen time and computer use.

• Some campus travel may be required for meetings and collaboration.

• This role offers a flexible work arrangement combining in-person attendance with remote work. On-site presence is required based on business needs team collaboration or scheduled meetings. This work arrangement is subject to change.

Pay Transparency

At Bentley we offer a total rewards package designed to attract motivate retain and reward our employees. This includes competitive compensation robust benefits career development and opportunities generous paid time off workplace flexibility and a positive engaging employee alignment with the Massachusetts Pay Transparency Act and our commitment to equity and transparency were sharing the salary grade range for this role. The grade range is based on market data and the scope of responsibilities. Final pay will depend on your experience education and other relevant qualifications.

Salary Grade Range:

$78505 - $131395 per year

If you have questions about the salary grade range or need additional information please contact us at .

Bentley University requires references checks and may conduct other pre-employment screening.

DIVERSITY STATEMENT

Bentley University strives to create a campus community that welcomes the exchange of ideas and fosters a culture that values differences and views them as a strength in our community.

Bentley University is an Equal Opportunity Employer building strength through diversity. The University is committed to building a community of talented students faculty and staff who reflect the diversity of global business. We strongly encourage applications from persons from underrepresented groups individuals with disabilities covered veterans and those with diverse experiences and backgrounds.