Description
Job Summary
Reporting to the Director of Data Architecture the Data Engineer is responsible for designing building and maintaining the infrastructure that enables the capture processing and analysis of critical data across systems at the College of the Holy Cross. This includes developing and managing data pipelines integrating diverse data sources and ensuring the performance security and reliability of data solutions. The ideal candidate will possess strong software development skills a problem-solving mindset and a passion for creating scalable data architectures that support both operational effectiveness and strategic planning.
Major Areas of Responsibility
Design develop and maintain scalable data pipelines and workflows using platforms such as AWS and Workato.
Integrate structured and unstructured data from multiple sources into centralized repositories including Snowflake-based data warehouses.
Collaborate with cross-functional teams to support analytics business intelligence and institutional research needs.
Create and manage ETL/ELT processes to ensure timely accurate and secure data transformation and delivery.
Monitor data infrastructure for performance availability and data integrity and implement systems for logging alerting and quality control.
Support the development of data models that align with business requirements through dimensional modeling fact/dimension tables and metadata documentation.
Assist in maintaining data governance protocols including metadata catalogs and access control mechanisms.
Partner with IT security cloud engineering and data architecture teams to ensure infrastructure reliability and compliance with security standards.
Other duties as required
Minimum Qualifications
Experience with basic computer programming/scripting languages.
Experience with git and other development tools.
Solid understanding of data modeling techniques ETL/ELT pipelines and processing of structured and semi-structured data.
Familiarity with metadata management tools data catalogs and data dictionaries.
Experience implementing observability practices for data pipelines and cloud infrastructure.
Hands-on experience developing in AWS environments and working with Snowflake data platforms preferred
Experience integrating systems and automating workflows with tools like Workato preferred
Exposure to data science and machine learning infrastructure preferred
Ability to work collaboratively with stakeholders across analytics IT and academic functional areas.
Knowledge of best practices in data security and compliance within cloud-based environments.
Core Competencies
Skills that are required for this job and are in line with the Colleges mission e.g.
Dependability
Flexibility
Service Oriented
Excellent Written & Verbal Communication
Proficient Problem Solving
Understands Risk Management
Excellent Innovation/Creativity
Strong Teamwork & Team Facilitation
Strong Interpersonal Skills
Understands values and respects diversity as an individual in a team and within groups while fostering an inclusive and supportive environment.
Additional information:
This is a full time exempt level position with a salary range of $92000-$103000. The College is committed to providing competitive market pay for its employees. The College also offers a competitive benefits package for full-time staff including:
10% College contribution to the 403(b) Retirement Plan (1 year wait waiver available)
This position may be eligible for a remote work arrangement; however upon hire candidates must reside in Massachusetts.
Condensed summer 4-day work week
Wellness programs & ongoing Training and Development opportunities
Generous paid time off
Tuition & Education benefits
The College is an Equal Employment Opportunity Employer and complies with all Federal and Massachusetts laws concerning Equal Opportunity and Affirmative Action in the workplace.
To review our Employee Benefit Options please go to: INSTRUCTIONS: Review of applications will begin as received and continue until the position has been filled.
The College also provides reasonable accommodations to qualified individuals with disabilities during the hiring process in compliance with law. To request an accommodation via email at emailprotected or by calling .