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Data Engineer Non Profit Jobs in Seattle, WA (NOW HIRING)

Job Summary : Ai2 is a Seattle-based non-profit AI research institute focused on building ... Qualifications : Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics ...

Ai2 is a non-profit AI research institute based in Seattle, focused on developing foundational AI ... Qualifications : Required : • A bachelor's degree in Data Science/CS/EE/Applied Mathematics ...

... Not-For-Profit, and Sustainability. We are committed to building a robust talent databank ... Analyze survey reports, maps, and other data to plan projects. Consider construction costs ...

Job Summary : Ai2 is a non-profit AI research institute based in Seattle, focused on building ... Qualifications : Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics ...

Job Summary : Ai2 is a Seattle based non-profit AI research institute focused on building ... Qualifications : Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics ...

Senior Software Engineer, Platform

Seattle, WA · On-site

$139K - $183K/yr

Job Summary : Ai2 is a non-profit AI research institute focused on building breakthrough AI ... Responsibilities : • Design and extend APIs that expose structured scholarly data to academic ...

Senior Research Engineer, Olmo + Molmo

Seattle, WA · On-site

$118K - $163K/yr

Ai2 is a non-profit AI research institute focused on developing foundational AI research and ... Required : • 4+ years of ML infrastructure experience -- data preprocessing, model training ...

Senior Research Engineer, Olmo + Molmo

Seattle, WA · On-site

$118K - $163K/yr

Ai2 is a non-profit AI research institute focused on developing foundational AI research and ... Required : • 4+ years of ML infrastructure experience -- data preprocessing, model training ...

Senior Software Engineer, Platform

Seattle, WA · On-site

$139K - $183K/yr

Responsibilities : • Design and extend APIs that expose structured scholarly data to academic ... We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen.

Senior Software Engineer, Platform

Seattle, WA · On-site

$139K - $183K/yr

Responsibilities : • Design and extend APIs that expose structured scholarly data to academic ... We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen.

Infrastructure Engineer

Seattle, WA · On-site

$122K - $160K/yr

The Allen Institute is a non-profit AI research institute based in Seattle, dedicated to building ... and data stores Qualifications : Required : • Excellent communication, customer service, and ...

Infrastructure Engineer

Seattle, WA · On-site

$122K - $160K/yr

Job Summary : Ai2 is a Seattle based non-profit AI research institute focused on building ... and data stores Qualifications : Required : • Excellent communication, customer service, and ...

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Data Engineer Non Profit information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Sep 1, 2026, the average yearly pay for data engineer non profit in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

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 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.

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 most commonly searched types of Data Engineer Non Profit jobs in Seattle, WA?

The most popular types of Data Engineer Non Profit jobs in Seattle, WA are:

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For Data Engineer Non Profit jobs in Seattle, WA, the most frequently searched job titles are:

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The top searched job categories for Data Engineer Non Profit jobs in Seattle, WA are:

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Cities near Seattle, WA with the most Data Engineer Non Profit job openings:

Infographic showing various Data Engineer Non Profit job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 77% In-person, 11% Hybrid, and 12% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Data Engineer IV

Seattle, WA • On-site

Fred Hutchinson Cancer Research Center
Health Care and Social Assistance • 1 - 5K employees

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Overview Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute–designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers.

Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect.

Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data Engineering team leading the development of new translational data infrastructure, integrations, and user‐facing applications.

This role combines deep data engineering expertise in the Databricks Lakehouse ecosystem with hands‐on experience in designing and operating cloud infrastructure‐as‐code (IaC) on AWS using Terraform. This engineer will be responsible for ensuring data pipelines, compute infrastructure, and security architecture are aligned, reproducible, and cost‐efficient.

The ideal candidate will lead by example in engineering excellence, reliability, and collaboration, helping the team scale data services for research and clinical innovation in a secure, compliant, and responsive environment.

Responsibilities

Lead the research, design, and development of data solutions to address analytical, research, and clinical data requirements, ensuring system scalability, security, performance and reliability. Design and maintain data applications such as interfaces, ingestion pipelines, data transfer mechanisms and data partition strategies using Databricks, Delta Lake, Unity Catalog, and related cloud technologies to enable efficient access of data structures.

Develop prototypes and pilot new data engineering solutions to determine their viability for adoption and long‐term operational support. Lead the planning process around future growth scalability, and optimization of data solutions. Establish and support data standards, governance practices, lineage tracking, and data quality processes. Lead efforts to improve processes and meet strategic goals for data engineering, data management, infrastructure management, infrastructure automation, and platform reliability.

Proactively identify issues, troubleshoot and tune data solutions for scientific computing. Work with internal stakeholders to correctly scope, define, implement, and deliver data platform solutions. Prepare and present technical information on data solutions to all levels of stakeholders. Independently organize and manage multiple complex projects, priorities, and technical initiatives simultaneously. Prepare and maintain written technical design specifications, flow charts and data flow diagrams as needed for new and existing applications.

Qualifications

Minimum Qualifications

BS in Computer Science, Engineering or equivalent experience. Minimum of 10 years of experience with various database platforms, reporting tools, and data structures. Minimum of 10 years of experience with database design and ETL development. Minimum of 10 years of experience in technical leadership. Proficient in one or more scripting language. In-depth knowledge and expertise of database technologies, along with solid programming, design and system analysis skills. Proven track record researching, implementing and socializing technical solutions.

Preferred Qualifications

Advanced skills using and collaborating on code development using git/GitHub and deep familiarity with SDLC processes and implementation. CI/CD automation experience including testing and environment promotion for data pipelines. Proven experience designing and operating Databricks based pipelines (Delta Lake, Jobs/Workflows, DLT). Proficiency in AWS services (S3, IAM, Lambda, EC2, networking) and pipeline troubleshooting.

Strong debugging, cost‐performance tuning, and incident remediation skills. Experience mentoring engineers, leading design sessions, and demonstrated ownership and reliability of data engineering implementations. Deep familiarity with Databricks–AWS integrations, including Terraform‐based cluster management and policy enforcement.

Experience in regulated or healthcare environments (e.g., HIPAA, FHIR, OMOP). Familiarity with data governance, lineage, and observability tools (e.g., Great Expectations, Monte Carlo). Hands‐on experience with Terraform or other IaC tools for infrastructure management. Experience with Airflow, dbt, or Dagster for orchestration and transformation design. The annual base salary range for this position is from $133,328 to $210,725, and pay offered will be based on experience and qualifications.

This position may be eligible for relocation assistance. Although Fred Hutch is not sponsoring most H‐1B visas at this time, candidates who already hold an H‐1B sponsored by another organization and are currently in the U.S. may be eligible for this position. Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well‐being, and financial security.

Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12‐22 days per year), paid sick leave (12‐25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks). We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class.

We desire priority referrals of protected veterans. If due to a disability you need assistance or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.