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Data Engineer Non Profit Jobs in Raleigh, NC (NOW HIRING)

Jewelers Mutual Group

Sr BI Developer

Raleigh, NC · On-site

Partner with the data engineer and data platform teams to support the design, build and maintenance ... Benefit from 50% charitable gift matching and paid volunteer time to support nonprofit causes

Jewelers Mutual Group

Cloud Engineer II

Raleigh, NC · On-site

$54.25 - $72.50/hr

... data stack on Databricks, and an enterprise AI capability designed to change how insurance works ... Benefit from 50% charitable gift matching and paid volunteer time to support nonprofit causes.

nVent

Senior Principal Electrical Engineer

Raleigh, NC · On-site

$123K - $229K/yr

... data center environments, power electronics, or telecom power systems . * Experience in ... Through our nVent in Action matching program, we provide funds to nonprofit and educational ...

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All JobsData Engineer Non Profit JobsData Engineer Non Profit Jobs in Raleigh, NC

Data Engineer Non Profit information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Jun 16, 2026, the average yearly pay for data engineer non profit in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is a Data Engineer Non Profit job?

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Engineers in non-profit organizations often encounter challenges such as integrating data from diverse and sometimes outdated sources, as well as working with limited budgets and resources compared to the private sector.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 in the Data Engineer Non Profit position, and why are they important?

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.

What are popular job titles related to Data Engineer Non Profit jobs in Raleigh, NC? For Data Engineer Non Profit jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Engineer Non Profit jobs in Raleigh, NC look for? The top searched job categories for Data Engineer Non Profit jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Engineer Non Profit jobs? Cities near Raleigh, NC with the most Data Engineer Non Profit job openings:
Data Engineer Non Profit jobs near you
Infographic showing various Data Engineer Non Profit job openings in Raleigh, NC as of June 2026, with employment types broken down into 6% Internship, 68% Full Time, 23% Part Time, and 3% Contract. Highlights an 81% In-person, 8% Hybrid, and 11% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Salesforce Data Cloud Engineer III (Memphis TN or Remote in the USA)

American Lebanese Syrian Associated Charities

Raleigh, NC • Remote

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

AtALSACyou do more than make a living; you make a difference.
We like people who are different...because we're different, too. As one of the world's most iconic and respected nonprofits, we know what it's like to stand out. That's why we're looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission: Finding cures. Saving children.
Job Description

The Salesforce Data Cloud Engineer (Software Engineer III) provides technical leadership and hands-on engineering expertise in designing, developing, implementing, and supporting scalable enterprise data and application solutions. This role is a key contributor and mentor within the engineering team, serving as a subject matter expert across Salesforce Data Cloud, identity resolution, data governance, APIs, and multi-layered application development.

This position drives the architecture and delivery of Data Cloud pipelines, customer identity unification, and privacy-safe activation across enterprise platforms. The engineer continually evaluates emerging technologies, ensures adherence to secure development practices, and documents solutions through clear technical artifacts including diagrams, flowcharts, metadata definitions, and code documentation.

Primary ResponsibilitiesSalesforce Data Cloud & Unified Profile Engineering
  • Design, develop, and optimize Data Cloud pipelines-including Data Streams, Data Model Objects (DMOs), Data Graphs, Calculated Insights-to build a scalable unified Profile System with high-quality identity resolution and golden records.
  • Define, tune, and maintain identity resolution rulesets (deterministic and probabilistic) for accuracy, precision/recall, and measurable profile completeness.
  • Build and optimize Segments and Activation across Marketing Cloud, Advertising platforms, Sales/Service Cloud, and Commerce using privacy-safe matching and deduplication.
  • Implement data governance, consent modeling, and privacy controls (GDPR/CCPA) across ingestion, unification, storage, and activation.
  • Partner with Marketing, Product, Analytics, and CRM teams to translate business use cases into Data Cloud data models, insights, and event-driven activations.
Data Engineering, Integrations & Platform Reliability
  • Establish and maintain CI/CD pipelines, automated data quality checks, operational monitoring, data lineage visibility, and SLA reporting across ingestion and activation flows.
  • Collaborate on Lakehouse Federation and Zero-Copy architecture patterns with Amazon Redshift, Databricks, and other enterprise data platforms for analytics, ML integration, and model operationalization (Einstein Studio or external).
  • Architect and implement ETL/ELT processes using SQL, streaming platforms (Kafka/Kinesis), APIs, and microservices aligned to enterprise engineering standards.
  • Analyze and resolve complex technical issues across interconnected systems; perform root cause analysis, implement fixes, and prevent recurrence.
Application Development & Engineering Leadership
  • Apply software engineering best practices across front-end, back-end, and data layers while conforming to internal coding standards and secure development practices.
  • Create, modify, test, debug, document, and maintain complex application programs supporting enterprise systems.
  • Work directly with users, business analysts, and cross-functional teams to understand requirements, validate user needs, and drive enhancements.
  • Mentor and support Software Engineer I and II team members through code reviews, technical guidance, and skill development.
Continuous Learning & Technical Governance
  • Stay current with industry trends, emerging technologies, and Salesforce ecosystem advancements; participate in education, certifications, and learning opportunities.
  • Maintain thorough documentation (flowcharts, diagrams, layouts, data dictionaries, design specifications) to support system understanding and operational continuity.
Minimum Qualifications
  • 5+ years of experience in data engineering, CRM, or Customer Data Platforms (CDP).
  • 2+ years hands-on with Salesforce Data Cloud or an equivalent enterprise CDP.
  • Bachelor's degree in Information Systems, Engineering, Mathematics, Computer Science, or related field; 5-8 years technical and programming experience.
  • Strong SQL proficiency and hands-on expertise with Data Cloud entities (DMOs, Data Streams, Data Graphs, Calculated Insights, Segments, Activation).
  • Proven experience activating audiences across Marketing Cloud, Advertising platforms, Sales/Service Cloud, or Commerce Cloud.
  • Experience with ETL/ELT pipelines, streaming technologies (Kafka/Kinesis), REST/GraphQL APIs, and Git-based CI/CD.
  • Strong understanding of consent management, data privacy, PII/PHI protection, and compliance frameworks (GDPR/CCPA).
  • Professional experience developing across multiple layers of the application stack (front-end, back-end, data, APIs).
  • Experience in structured, cross-functional environments with established roles and processes.
  • Preferred skills include experience with Python, dbt, MDM platforms, Reverse ETL, enterprise data warehouses (e.g., Amazon Redshift), Einstein Studio or ML model operationalization, and Copado or similar Salesforce DevOps tooling.
Benefits & PerksThe following Benefits & Perks apply to Full-Time Roles Only.We're dedicated to ensuring children and their families have every opportunity to enjoy life's special moments. We're also committed to giving our staff excellent benefits so they can do the same.
  • Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
  • 401K Retirement Plan with 7% Employer Contribution
  • Exceptional Paid Time Off
  • Maternity / Paternity Leave
  • Infertility Treatment Program
  • Adoption Assistance
  • Education Assistance
  • Enterprise Learning and Development
  • And more

ALSAC is an equal employment opportunity employer.

ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.

No Search Firms:

ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.

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