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Full Time Data Engineer Non Profit Jobs (NOW HIRING)

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... TYPICAL WORKING CONDITIONS * Full time remote/telework OTHER PHYSICAL REQUIREMENTS * Vision * Sense ...

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable ... Type: Full-time * Reports to: Director of Engineering * Salary Based on Experience * Annual Bonus

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Data Engineer

Manhattan, NY · On-site

$119K - $150K/yr

We've become the leading independent nonprofit in children's mental health by providing gold ... This is an exempt, full-time, hybrid position located in our NYC headquarters office or other ...

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

Overview Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult ... The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data ...

Data Engineer

Charlotte, NC · On-site

$100K - $130K/yr

Charlotte, NC (Hybrid) Schedule: Full-Time | Hybrid (3 days onsite) Interview Process: In-Person Interview Required About the Role We are seeking a Data Engineer to join a team focused on modernizing ...

New

$64K - $173K/yr

Position Summary The Data Engineer will be responsible for delivering high quality modern data ... Full time Pay Range The typical pay range for this role is: $64,890.00 - $173,040.00 This pay range ...

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

... nonprofit organizations. Learn more at hinshawlaw.com. Job Summary The Lead Data Engineer is a hands-on technical leader responsible for designing, building, and operating enterprise-grade data ...

Data Engineer

Washington, DC · On-site +1

$74K - $156K/yr

Summary DDI Data Engineers solve critical data challenges by building optimal data pipelines ... full-time, part-time or intermittent. Contact the hiring agency for more information on the ...

Data Engineer

Fort George G Meade, MD · Hybrid

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Glendale, CA · On-site

$121K - $145K/yr

Glendale, CA Job Type: Full-Time ● Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines ● Build tools and services to support data discovery, lineage ...

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

Job Type Full-time Description Role Overview: The Data Engineer at Bumble Bee Seafoods is responsible for designing, building, and operating the enterprise data platform that powers analytics ...

Data Engineer

Fort George G Meade, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

What You'll Do : We are seeking a Senior Data Engineer / Data Engineer with strong hands-on ... Experience transitioning a contractor-heavy team toward a stronger full-time core without ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location Hyderabad, India (Hybrid) Employment Type Full-Time Experience 3-7 Years Salary ₹8 LPA - ₹18 LPA (Based on experience and skills) Job Summary We are looking for a skilled ...

Data Engineer

$117K - $140K/yr

We're looking for a Data Engineer to help design, build, and operate this modern data architecture ... Type Full-Time

New

Showing results 41-60

Full Time Data Engineer Non Profit information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 8, 2026, the average yearly pay for full time data engineer non profit 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.
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What cities are hiring for Full Time Data Engineer Non Profit jobs? Cities with the most Full Time Data Engineer Non Profit job openings:
What are the most commonly searched types of Data Engineer Non Profit jobs? The most popular types of Data Engineer Non Profit jobs are:
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Infographic showing various Full Time Data Engineer Non Profit job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$116K - $140K/yr

Full-time

Re-posted 13 hours ago


Job description

PRIMARY FUNCTION:
The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the design of ELT pipelines that enable efficient data integration and analytics.
The Data Engineer collaborates with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver scalable data solutions. This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data assets. The Data Engineer is expected to communicate technical concepts effectively and contribute to data engineering best practices across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
  1. Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
  1. Develop and maintain data models, schemas, and data structures to support analytical and operational reporting needs.
  1. Create and maintain logical and physical data models following established data modeling standards and best practices.
  1. Collaborate with cross-functional teams to understand business requirements and deliver high-quality data solutions.
  1. Participate in technical discussions, solution design, and implementation activities across data engineering projects.
  1. Implement and maintain data quality checks, validation rules, and monitoring processes to ensure data accuracy, consistency, completeness, and reliability.
  1. Develop efficient, well-structured SQL queries and data transformation logic to support analytics, reporting, and operational processes.
  1. Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
  1. Ensure compliance with data security, governance, and regulatory requirements across cloud and on-premise data platforms.
  1. Communicate technical concepts, project status, and data-related issues effectively to team members and business stakeholders.

QUALIFICATIONS
EDUCATION: Bachelor's degree in related field required. Master's degree preferred.
EXPERIENCE:
  • 3-5 years of experience in data engineering or a related field required.
  • Strong proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
  • Experience developing and maintaining ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
  • Good understanding of data modeling concepts, including dimensional modeling, star schema design, and normalization required.
  • Hands-on experience with modern data warehousing platforms, preferably Databricks, Snowflake, or Azure Synapse required.
  • Strong programming skills in Python or another modern scripting language required.
  • Experience troubleshooting and optimizing data pipelines for performance, reliability, and scalability preferred.
  • Familiarity with data quality, data governance, and security best practices preferred.

KNOWLEDGE, SKILLS AND ABILITIES
  • Ability to understand business requirements and translate them into effective data solutions.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective verbal and written communication skills.
  • Ability to collaborate with cross-functional teams and stakeholders.
  • Proficiency in SQL, data analysis, and data transformation techniques.
  • Experience working with cloud-based data platforms and modern data engineering tools.
  • Knowledge of data modeling concepts, data warehousing principles, and ETL/ELT best practices.
  • Familiarity with data quality, data governance, and data security practices.
  • Proficient in building Power BI data models and developing dashboards and reports.
  • Ability to manage multiple priorities and work effectively in a fast-paced environment.

TYPICAL WORKING CONDITIONS
  • Full time remote/telework

OTHER PHYSICAL REQUIREMENTS
  • Vision
  • Sense of sound
  • Sense of touch

PERFORMANCE REQUIREMENTS
Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.