Data Management Engineer

Simmons University; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

An established industry player is seeking a Data Management Engineer to support its Technology Department. This role is pivotal in ensuring the integrity, security, and accessibility of institutional data. You will manage databases, collaborate on data integration across platforms, and develop insightful reports for leadership. The ideal candidate will possess strong analytical skills, proficiency in SQL and Python, and experience with cloud-based data solutions. Join a dynamic workplace that values diversity and innovation, and make a tangible impact on the educational community.

Qualifications

• 3-5 years experience with database and cloud-based systems.
• Proficiency in SQL, Python, and data visualization tools.

Responsibilities

• Manage and maintain institutional databases for data accuracy.
• Develop dashboards and reports for academic departments.

Skills

SQL

Python

Data Visualization

Problem Solving

Communication Skills

Education

Bachelor’s degree in Information Technology

Bachelor’s degree in Data Science

Bachelor’s degree in Computer Science

Tools

Tableau

Power BI

AWS

Google Cloud

Snowflake

Job description

ABOUT SIMMONS

Located in Boston’s historic Fenway area, Simmons University has a strong tradition of empowering women and challenging traditional gender roles. Simmons was founded for equality 125 years ago as one of the first higher education institutions dedicated to helping women become leaders. Today, our university continues to grow and evolve and now offers Boston’s only women’s undergraduate program and graduate programs open to all.

You’re joining our community at an especially exciting time as we continue to innovate for the future. Simmons recently launched a six-school academic structure that leverages our expert faculty and longstanding expertise in professions that make our communities stronger. In addition, we continue to highlight our high-value education proposition that is delivering greater ROI to students and putting them on the fast track to career growth and success. You’ll find that people who work here truly believe in our mission of preparing students to become social justice-oriented leaders who excel in their professions and their communities. This commitment and pride make for a dynamic workplace.

As a university that values diversity, equity, and inclusion, Simmons encourages applications from all under-represented groups. Simmons is committed to creating, developing, promoting, and enhancing inclusive hiring practices–at all levels, for all positions–ensuring diverse talent pools and the delivery of a consistent positive candidate experience. Simmons is an equal opportunity employer and is committed to continuing to develop a more diverse faculty, staff, student body, and curriculum.

JOB SUMMARY

The Data Management Engineer plays a critical role in supporting the Technology Department at Simmons by ensuring the integrity, security, and accessibility of institutional data. This position involves managing student, faculty, research, and administrative data while adhering to compliance regulations and supporting institutional decision-making through accurate data reporting and governance.

ESSENTIAL JOB FUNCTIONS

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

• Database Management: Manage and maintain institutional databases (e.g., Student Information Systems, Learning Management Systems, ERP systems) to ensure data accuracy and efficiency.

• Data Integration: Collaborate with Technology teams to integrate data across multiple platforms, including cloud-based systems (e.g., AWS, Google Cloud, Azure) and third-party applications.

• Reporting & Analytics: Develop dashboards and reports for university leadership, academic departments, and administrative offices using tools like Tableau, Power BI, or SQL-based reporting solutions.

• Application Support: Troubleshoot challenges and/or difficulties users have with applications and coordinate support requests to software vendors as needed.

• Security & Access Control: Ensure appropriate access controls and security measures are in place to protect sensitive student and institutional data.

• Data Cleaning & Validation: Monitor and improve data quality by identifying inconsistencies and implementing validation processes.

• Data Governance & Compliance: Maintain data governance policies to ensure compliance with FERPA, HIPAA, and other regulatory requirements.

• Support Research & Institutional Effectiveness: Assist faculty, researchers, and institutional effectiveness teams with data extraction and analysis for academic and administrative research purposes.

• User Training & Support: Provide training and support to faculty, staff, and students on data management best practices and reporting tools.

OTHER DUTIES AND RESPONSIBILITIES

• Other duties as assigned.

REQUIRED QUALIFICATIONS

• Bachelor’s degree, preferably in Information Technology, Data Science, Computer Science, or a related field.

• 3 - 5 years experience with database and cloud based systems.

• Experience with higher education data systems, preferably Workday.

• Proficiency in SQL, Python, or other database query languages for data extraction and manipulation.

• Experience with a cloud-based data warehouse, preferably Snowflake.

• Knowledge of educational data standards (IPEDS, NCES, etc.) and compliance regulations (FERPA, HIPAA).

• Strong analytical and problem-solving skills, with experience in data visualization tools like Tableau, Power BI, or Google Data Studio.

• Excellent communication, documentation, and collaboration skills to work effectively with faculty, staff, administrators, and IT teams.

• Demonstrated competency with AI and machine learning concepts, particularly in relation to data management, query optimization, and integration with modern data platforms.

• Detail-oriented, with the ability to problem solve data inconsistencies and work with large data sets.

PREFERRED QUALIFICATIONS

• Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud) is a plus.

COMPETENCIES

• Problem Solving

• Analytical and Strategic

• Customer Service Oriented

• Communication (Written, Verbal, Presentation)

• Teamwork

WORK ENVIRONMENT & CONDITIONS/PHYSICAL DEMANDS

• Full Remote

Instructions to Applicants: Please upload all applicable application materials (e.g. resume/cv, cover letter, writing sample, teaching philosophy, etc.) in the Application Materials box on page 2 ("My Experience") of this application. Documents can be uploaded individually or as a combined document (e.g. PDF).