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Data Engineer Non Profit information

What is a data engineer non profit?

A Data Engineer in a nonprofit organization is responsible for designing, building, and maintaining data systems that support the organization's mission. They collect, clean, and organize data from various sources, ensuring its accuracy and accessibility. This role involves developing data pipelines, optimizing databases, and supporting analytics to help the nonprofit make data-driven decisions. Unlike in corporate settings, nonprofit data engineers often work with limited resources and focus on impact-driven projects. Their work enables better donor engagement, fundraising efforts, and program evaluation.

What are some typical challenges a data engineer faces when working in a non-profit organization?

Data Engineers in non-profit organizations often encounter challenges such as integrating data from diverse and sometimes outdated sources, as well as working with limited budgets and resources compared to the private sector. You may need to develop scalable solutions that support evolving data needs while ensuring data security and compliance with donor or grant requirements. There is also a strong focus on collaborating with fundraising, program, and outreach teams to translate complex data into actionable insights. Adaptability and creativity are key to overcoming these obstacles and helping the organization leverage data to further its mission.

What are the key skills and qualifications needed to thrive as a data engineer non profit?

To thrive as a Data Engineer in the non-profit sector, you need a solid background in data management, ETL processes, and proficiency in languages such as SQL and Python, often supported by a degree in computer science or related fields. Experience with data warehousing solutions, cloud platforms like AWS or Google Cloud, and knowledge of data privacy standards are highly valued; relevant certifications (e.g., AWS Certified Data Analytics) can be a plus. Strong communication, collaboration, and problem-solving skills are essential to work effectively with non-technical staff and diverse stakeholders. These abilities are crucial for successfully building data infrastructure that supports mission-driven decision-making and maximizes the organization’s social impact.

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What job categories do people searching Data Engineer Non Profit jobs in Florida look for? The top searched job categories for Data Engineer Non Profit jobs in Florida are:
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Infographic showing various Data Engineer Non Profit job openings in Florida as of August 2026, with employment types broken down into 25% Full Time, 50% Part Time, and 25% Contract. Highlights an 100% In-person job distribution.

Senior Manager, Data & AI

The Institute of Internal Auditors Inc

Lake Mary, FL • On-site

Full-time

Posted 9 days ago

Job description

Senior Manager, Data & AI

Location: Lake Mary, FL (Hybrid)
Department: Technology, AI & Product Experience (TPX)
Status: Full-Time | Exempt

About The IIA

The Institute of Internal Auditors (IIA) is the global leader and recognized authority for the internal audit profession. We are dedicated to advancing the profession worldwide through education, advocacy, certifications, and professional resources. Guided by our values of People First, Integrity, Collaboration, Accountability, and Innovation, we provide a collaborative, purpose-driven workplace where employees can grow professionally while making a global impact.

Why Join The IIA?
  • Make a global impact by advancing the internal audit profession.
  • Work in a collaborative, values-driven culture.
  • Be part of an organization that values innovation and continuous learning.
  • Grow your career while contributing to meaningful work that strengthens organizations around the world.
  • Join a team committed to integrity, accountability, and putting people first.
Position Summary

The Senior Manager, Data & AI is a strategic and hands-on technology leader responsible for building and leading IIA's enterprise data, analytics, and artificial intelligence capabilities. Reporting to the Vice President of Technology, AI & Product Experience, you'll define the strategy and roadmap for data engineering, analytics, AI, and governance while leading a high-performing team and partnering across the organization to deliver secure, scalable, and business-driven solutions.

This is a unique opportunity to build the organization's modern data and AI capability, establish enterprise standards, and help shape how AI creates measurable value across the business.

Work Arrangement

This is a hybrid position based in Lake Mary, Florida, combining in-office collaboration with remote work.

What You'll Do
  • Lead the strategy and execution of enterprise data engineering, analytics, AI, and governance initiatives.
  • Build and evolve IIA's cloud data platform, including lakehouse architecture, data pipelines, analytics, and governance capabilities.
  • Deliver production-ready AI and machine learning solutions that drive measurable business outcomes.
  • Recruit, mentor, and develop a high-performing Data & AI team while partnering with implementation vendors.
  • Establish best practices for data governance, AI governance, model evaluation, and responsible AI adoption.
  • Collaborate with Engineering, Technical Product Management, Information Security, Legal, and business leaders to deliver innovative technology solutions.
  • Communicate technical strategy and business value effectively to executive leadership.
QualificationsRequired Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field (or equivalent experience).
  • 7+ years of experience in data engineering, analytics, machine learning, or AI, including 2+ years leading technical teams.
  • Experience designing and managing cloud-based data platforms using Azure, Databricks, Spark, Delta Lake, or similar technologies.
  • Experience deploying and supporting production AI, machine learning, or LLM-based solutions.
  • Strong proficiency in SQL and Python.
  • Experience with data governance, data quality, cataloging, lineage, and access management.
  • Excellent leadership, communication, and stakeholder management skills.
Preferred Qualifications
  • Experience implementing MLOps and AI governance practices.
  • Experience in a regulated, nonprofit, association, or professional services environment.
  • Familiarity with Azure cloud services, SaaS platforms, and enterprise architecture.
  • Knowledge of AI governance frameworks such as NIST AI RMF or ISO/IEC 42001.
Equal Opportunity Employer

The Institute of Internal Auditors (IIA) is an Equal Opportunity Employer. We are committed to creating an inclusive workplace where all employees are treated with dignity and respect. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.