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Remote Non Profit Data Engineer Jobs (NOW HIRING)

Tergar International

Data Engineer

Minneota, MN · Remote

Tergar International is a 501(c) (3) nonprofit organization that develops and delivers Tergar ... Location & Schedule: * Full-time Remote position: Candidates may be based anywhere in the Americas ...

New

Data Ideology LLC

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

D&G Support Services, LLC

Data Engineer

$105K - $120K/yr

Data Engineer Remote/ Occasional Onsite in DC area | NCR Support as Required | Secret with TS Eligible If you want to apply enterprise data engineering expertise to support a varied portfolio of ...

National Resident Matching Program

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

About the Organization The National Resident Matching Program (NRMP) is a private, not-for-profit ... remote and sedentary; there may be infrequent overnight travel and duties may require some bending ...

Changeis

Data Engineer

$117K - $140K/yr

Most of our positions are remote, providing flexibility while working on impactful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Engineering amp; ETL: Experience ...

Conflux Systems

Data Engineer

$33/hr

Information Technology - Data Engineer Location ... REMOTE Pay Rate: $33/hr. Duration: 04 Months These are the skills required: • Expert in Azure ...

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Mastech Digital

Data Engineer

Roanoke, TX · Remote

$65/hr

Westlake, TX (Hybrid - 2 weeks onsite per month/ alternate weeks, rest remote) Salary: Up to $130,000/Annually or $65.00/Hourly Role: Data Engineer Primary Skills: Data Engineering and API ...

Apex Informatics

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Mastech Digital

Data Engineer

Roanoke, TX · On-site +1

$130K/yr

Westlake, TX (Hybrid ? 2 weeks onsite per month/ alternate weeks, rest remote) Salary: Up to $130,000/Annually or $65.00/Hourly Role: Data Engineer Primary Skills: Data Engineering and API ...

Beam Impact

Senior Data Engineer

Manhattan, NY · On-site +1

$160K - $180K/yr

At Beam we're on a mission to shift $10 Billion to high-impact nonprofits. About the role As a ... remote-first company, so our team works from wherever they are. We also have office space in New ...

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Remote Non Profit Data Engineer information

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$129.7K

$177.5K

How much do remote non profit data engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote non profit data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

AspectRemote Non Profit Data EngineerRemote Non Profit Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentDesigning and maintaining data infrastructure for nonprofitsInterpreting data to generate reports and insights for nonprofits
Employer & Industry UsageNonprofits, NGOs, charitable organizationsNonprofits, advocacy groups, social service agencies

While both roles support nonprofit missions, Remote Non Profit Data Engineers focus on building and maintaining data systems, whereas Data Analysts interpret data to inform decision-making. Their skills and daily tasks differ but are complementary in nonprofit data operations.

How does a Remote Non Profit Data Engineer typically collaborate with program teams to support organizational goals?

As a Remote Non Profit Data Engineer, you’ll regularly work alongside program managers, outreach coordinators, and development teams to understand their data needs and translate them into actionable solutions. This often involves joining virtual meetings to discuss data collection strategies, building and maintaining ETL pipelines, and ensuring data quality for accurate reporting. Collaboration tools such as Slack, Zoom, and project management software are commonly used to stay connected across departments. Your work directly supports impact measurement and grant reporting, making cross-functional communication and adaptability essential in this role.

What key skills and qualifications are needed to thrive as a Remote Non Profit Data Engineer, and why are they important?

A Remote Non Profit Data Engineer should possess strong data management, SQL/database proficiency, and experience with ETL processes, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Google Cloud), data visualization tools (such as Tableau or Power BI), and certifications in data engineering are typically valuable. Excellent communication, problem-solving, and a collaborative mindset are crucial soft skills, especially for remote work and understanding nonprofit missions. These abilities ensure data is leveraged effectively to drive impactful decisions and support the organization’s goals while maintaining transparency and data integrity.

What does a Remote Non Profit Data Engineer do?

A Remote Non Profit Data Engineer is responsible for designing, building, and maintaining data systems that support the operations and mission of nonprofit organizations, all while working from a remote location. Their tasks may include developing data pipelines, ensuring data quality, and integrating data from various sources to enable better decision-making. They often collaborate with program staff, data analysts, and IT teams to ensure the organization's data infrastructure meets compliance and reporting needs. By leveraging their technical skills, they help nonprofits use data more effectively to maximize their impact and secure funding.
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What cities are hiring for Remote Non Profit Data Engineer jobs? Cities with the most Remote Non Profit Data Engineer job openings:
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Remote Non Profit Data Engineer jobs near you
Infographic showing various Remote Non Profit Data Engineer job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 9% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Meta Force Technology Staffing LLC

Raleigh, NC • Remote

$50/hr

Contractor

Posted yesterday

Job description

Data Analysts , Sr Data Engineers , Lead Data Architects
Remote EST Hours
DURATION
6 months+
PAY RATE
Market RATE $50 Hour 
GCP Data Architect with Clean room and retail media Analytics - Mandatory Experience 

INTERVIEW TYPE  : Video
VISA RESTRICTIONS
 
REQUIRED SKILLS
6–8 years in data engineering or analytics 
Strong SQL and Python skills 
Experience in Python, SQL, and GCP tools (BigQuery, Dataflow, Composer) 
Exposure to clean rooms and retail media analytics 
Bonus: Familiarity with Databricks, Kafka, or campaign reporting tools