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Volunteer Non Profit Organizations Data Engineer Jobs

$105K - $127K/yr

... not\-for\-profit in Columbia, SC. The Data Engineer will work as part of a project team to improve the data solutions across the organization. The role is hybrid with four days per week in office in ...

Data Entry and Validation

West Hills, CA · On-site

$17.75 - $23.75/hr

Shelter App, Inc. is an All-volunteer Non-Profit Organization whose mission is to help Homeless and ... We are looking for volunteers who could validate the data and add new resources. Volunteers get ...

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

The team brings together experienced data leaders and engineers from across IPH and beyond to ... Paid time off to volunteer at nonprofit organizations * Pet friendly office environment * Commuter ...

$150 - $200/hr

The team brings together experienced data leaders and engineers from across IPH and beyond to ... Paid time off to volunteer at nonprofit organizations * Pet friendly office environment * Commuter ...

Data Engineer

Manhattan, NY · On-site

$150 - $200/hr

The team brings together experienced data leaders and engineers from across IPH and beyond to ... Paid time off to volunteer at nonprofit organizations * Pet friendly office environment * Commuter ...

Data Engineer

Alexandria, VA · Hybrid

$122K - $147K/yr

... and non-profit organizations. Our solution-centric services are deployed across the enterprise ... ProSidian.com ProSidian Seeks a Data Engineer | Workforce Planning & Strategic Human Capital ...

Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

Organizational Leadership * Lead and develop managers, technical leads, and senior data engineers. * Build a high-performing engineering culture focused on reliability, ownership, and innovation.

New

Data Engineer

Woburn, MA · On-site

$100 - $125/hr

The Team We are seeking a Data Engineer to join American Tower's IT organization's Data Engineering team. The team focuses on building, supporting, and maintaining data pipelines and datasets that ...

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Volunteer Non Profit Organizations Data Engineer information

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How much do volunteer non profit organizations data engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for volunteer non profit organizations data engineer in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.

What is a volunteer non profit organizations data engineer?

Volunteer Non Profit Organizations Data Engineers are individuals who offer their data engineering skills pro bono to non-profit organizations. They design, build, and maintain systems for collecting, storing, and analyzing data to help these organizations make data-driven decisions and improve their impact. Their work often includes tasks like cleaning and integrating data from various sources, creating data pipelines, and ensuring the privacy and security of sensitive information. By volunteering, they help non-profits leverage technology and data analytics without incurring high costs.

What are some typical challenges faced by volunteer non profit organizations data engineers?

Data Engineers in volunteer-driven non-profit organizations often encounter challenges related to limited resources, such as constrained budgets and access to advanced tools. They may also work with inconsistent or incomplete datasets, as data collection processes can vary widely depending on the capacity of volunteers. Additionally, collaborating with non-technical staff and volunteers requires the ability to communicate complex data concepts in accessible terms. However, these challenges present opportunities to innovate solutions that make a meaningful impact on the organization's mission.

What are the key skills and qualifications needed to thrive as a volunteer non profit organizations data engineer, and why are they important?

To thrive as a Volunteer Non Profit Organizations Data Engineer, you need a solid background in data management, analytics, and database design, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, data visualization platforms, and cloud-based data systems is typically expected, along with certifications such as Google Data Analytics or AWS Certified Data Analytics. Strong communication, collaboration, and problem-solving skills are vital for translating organizational needs into effective data solutions and working with diverse teams. These skills are critical for leveraging data to drive mission impact, efficiency, and informed decision-making within resource-constrained nonprofit environments.

What is the difference between Volunteer Non Profit Organizations Data Engineer vs Volunteer Non Profit Organizations Data Analyst?

AspectVolunteer Non Profit Organizations Data EngineerVolunteer Non Profit Organizations Data Analyst
Required SkillsData pipeline development, database management, programming (Python, SQL)Data interpretation, reporting, visualization (Excel, Tableau, SQL)
Work EnvironmentTechnical teams, data infrastructure projectsProgram teams, reporting and insights generation
Common UsageBuilding data systems, managing data flowAnalyzing data, creating reports for decision-making

While both roles support data-driven decision-making in non-profit organizations, the Data Engineer focuses on building and maintaining data infrastructure, whereas the Data Analyst interprets data to generate insights. Understanding these differences helps organizations assign the right tasks to each role.

What cities are hiring for Volunteer Non Profit Organizations Data Engineer jobs?

Cities with the most Volunteer Non Profit Organizations Data Engineer job openings:

What are the most commonly searched types of Non Profit Organizations Data Engineer jobs?

The most popular types of Non Profit Organizations Data Engineer jobs are:

Infographic showing various Volunteer Non Profit Organizations Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.

$105K - $127K/yr

Full-time

Re-posted 24 days ago


Job description

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Data Engineer<\/b>
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Columbia, SC<\/b>
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$100,000<\/b>
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ShortList is looking for a Data Engineer to underpin a new AI programme of work for a leading not\-for\-profit in Columbia, SC. The Data Engineer will work as part of a project team to improve the data solutions across the organization. The role is hybrid with four days per week in office in central Columbia.
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Key Responsibilities for the Data Engineer role:<\/b>
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  • Collaborate with business teams to develop BI and AI models.
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  • Integrate with third\-party systems using APIs for data processing and extraction.
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  • Design, build, and maintain robust data pipelines for analytics, reporting, and machine learning.
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  • Develop and optimize ETL processes in Microsoft Azure.
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  • Create and manage queries, views, tables, and stored procedures in SQL Server.
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  • Maintain and improve Databases, Data Warehouses, and related infrastructure.
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  • Ensure compliance with organizational data security policies.
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    Key skills for the Data Engineer role<\/b>
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    • Degree in IT, Computer Science, or equivalent
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    • Up to 5 years of experience in SQL development, incl T\-SQL (non negotiable)
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    • Minimum of 3 years experience of Python and Data Automation
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    • Experience with SQL Server Agent and security management
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    • Commercial experience with Azure SQL
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    • Experience working with complex API's to integrate 3rd party systems
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      This Data Engineer role is ideal for an individual who wants to work on AI\-related projects and who enjoys complex integration scenarios.
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      The role does require you to be in office 4 days per week in Columbia SC, and be a U.S. Citizen or Green Card Holder. I can not consider applications requiring sponsorship at this time.
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      Click Apply now to be considered for the Data Engineer role .
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