Data Engineer

Northeast Ohio Medical University

Northeast Ohio Medical University

Software Engineering, Data Science

USD 68,075-81,690 / year

Posted on Jun 3, 2026

Data Engineer

Please see Special Instructions for more details.

As part of your application, please submit a brief statement of values (less than 250 words) describing how your personal and professional values align with NEOMED’s core values of Integrity, Collaboration, and Excellence. We are seeking individuals who not only bring strong skills and experience, but also demonstrate a commitment to these values in their work performance.

Posting Details

Position Information
Position Title Data Engineer
Position Type Unclassified
Department Information Technology
Full or Part Time Full Time
Pay Grade MN11
Position Summary Information
Department Specific Information
Join Northeast Ohio Medical University’s (NEOMED) Department of Information Technology
NEOMED is a mission-driven, community-based medical university committed to educating health professionals, advancing discovery, and improving the health of our region. We are seeking a Data Engineer who wants to contribute to meaningful work in a collaborative academic environment.

At our organization, we are committed to fostering a collaborative and team-oriented environment that is essential to fulfilling our mission. We believe every employee should feel appreciated, valued, and empowered. To maintain a supportive organizational culture, we seek individuals whose values align with our mission and who thrive in a team-based approach. We encourage individuals whose values align with this collaborative approach to apply.

Starting Salary Range: $68,075 – $81,690, commensurate with experience.
This position requires candidates to be authorized to work in the United States without sponsorship.

Benefits & Perks
NEOMED is committed to supporting your health, well-being, and long-term success—both at work and beyond. Our comprehensive benefits package is designed to help you thrive.

Healthcare Coverage
Competitive medical, dental, and vision insurance through Medical Mutual
Flexible Spending Account (FSA) or Health Savings Account (HSA)
Short-and long-term disability coverage, Long-term care coverage options, and Life insurance

Retirement
State retirement plan with 14% employer matching to help you plan for the future

Paid Time Off
Generous vacation and sick leave, in addition to 11 paid holidays each year

Additional Benefits
Hybrid work environment (up to two remote days per week after six months) (Policy#3349-7-151)
Educational benefits with our partner universities (Policy#3349-07-45)
Ongoing investment in your professional growth through on-site training and Lean Six Sigma certification
Employee wellness activities and initiatives that support a healthy work-life balance.
Summary
The Data Engineer is responsible for designing, building, and maintaining the institution’s data pipelines, integrations, and data platforms. This role ensures that data governance policies are technically implemented, including data quality rules, access controls, and metadata capture. The engineer supports academic, administrative, and clinical systems by enabling secure, reliable, and governed data flows.
This position is essential for embedding governance into the institution’s technical infrastructure and ensuring high quality, compliant data for reporting, analytics, and operations.
Principal Functional Responsibilities
Data Pipeline and Integration Development: Design, build, and maintain ETL/ELT pipelines between SIS, LMS, HRIS, CRM, financial systems, and clinical systems. Ensure pipelines enforce data quality, validation, and transformation rules. Optimize data workflows for performance, reliability, and scalability.
Technical Governance Implementation: Implement role based access controls and data security rules in alignment with governance policies. Automate metadata capture, lineage tracking, and data quality monitoring. Partner with the Data Governance Analyst to embed governance into technical workflows.
Data Platform Management: Support data warehouse, data lake, or analytics platform environments. Maintain data models, schemas, and storage structures. Ensure data availability and reliability for reporting and analytics.
Compliance and Security: Implement technical controls to support FERPA, HIPAA, and accreditation requirements. Collaborate with IT security and compliance teams to ensure secure data handling. Monitor and remediate data quality and security issues.
Collaboration and Support: Work closely with Institutional Research, Registrar, Finance, HR, and academic programs to understand data needs. Provide technical support for analytics, dashboards, and reporting tools. Assist with system upgrades, integrations, and data migrations.
Other Duties: Perform other duties as assigned.
Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
  • Minimum 3 years of experience in data engineering, ETL development, or database management.
  • Proficiency with SQL and at least one ETL/ELT tool or framework.
  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Strong understanding of data modeling, data warehousing, and integration patterns.
Preferred Qualifications
  • Experience in higher education or healthcare data environments.
  • Familiarity with FERPA and HIPAA technical requirements.
  • Experience with Microsoft Azure Data Factory, Synapse, Databricks, or similar tools.
  • Experience with API integrations and automation frameworks.
Physical Requirements
Must be able to utilize a phone, computer and other office equipment.
Posting Detail Information
NEOMED Campus Safety Guidelines
In an effort to keep our campus community as healthy and safe as possible, NEOMED may require vaccinations as a condition of attendance and employment. This policy will allow for exemption of the vaccination requirement for those individuals with valid medical reasons, sincerely held religious beliefs and matters of conscience.
Close Date

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * What is the highest level of education attained?
    • GED
    • High School Diploma
    • Associates Degree
    • Bachelors Degree
    • Masters Degree
    • PHD
  2. * How many years of experience do you have in data engineering, ETL development, or database management?

    (Open Ended Question)

  3. * Please indicate which of the following qualifications you meet (select all that apply):
    • Experience in data engineering, ETL development, or database management.
    • SQL proficiency
    • Experience with ETL/ELT tools or frameworks
    • Experience with cloud platforms (Azure, AWS, or GCP)
    • Knowledge of data modeling, data warehousing, and integration patterns
    • Experience in higher education or healthcare data environments
    • Familiarity with FERPA and HIPAA technical requirements
    • Experience with Microsoft Azure Data Factory, Synapse, Databricks, or similar tools
    • Experience with API integrations and automation frameworks
  4. * What are your salary expectations for this position?

    (Open Ended Question)

Applicant Documents

Required Documents
  1. Resume
  2. Cover Letter/Letter of Application
  3. Statement of Values
Optional Documents
  1. Reference Letter