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Remote Non Profit Data Engineer Jobs in California

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... This is a remote position. Duties * Support production systems and help triage issues during live ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Collaborate with ML engineers, other data engineers, and software developers to deliver actionable ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Senior Data Engineer Position: Full time Location ... Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ...

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and ... This is a fully remote position, with responsibilities that require strong communication skills and ...

World Market

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... data engineering products; lean into DataOps, DevOps, and CI/CD to deliver reliable, tested, and ... This is a fully remote position, with responsibilities that require strong communication skills and ...

EDO

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... What We Are Looking For * 6+ years of data engineering experience and three years of hands-on ...

Block

Senior Data Engineer, Risk

Bodega Bay, CA · On-site +1

$125K - $170K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... The Role As a Data Engineer you will handle everything from data architecture and modeling to data ...

Quanata

Senior Data Engineer [Remote-US]

San Francisco, CA · Remote

$215K - $300K/yr

The role We're looking for a Senior Data Engineer to help the team deliver data science services ... We are a remote-first company for most positions so you may work from anywhere you like in the U.S ...

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All JobsNon Profit Data Engineer JobsRemote Non Profit Data Engineer JobsRemote Non Profit Data Engineer Jobs in California

Remote Non Profit Data Engineer information

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.
What are popular job titles related to Remote Non Profit Data Engineer jobs in California? For Remote Non Profit Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Non Profit Data Engineer jobs in California look for? The top searched job categories for Remote Non Profit Data Engineer jobs in California are:
What cities in California are hiring for Remote Non Profit Data Engineer jobs? Cities in California with the most Remote Non Profit Data Engineer job openings:
Remote Non Profit Data Engineer jobs near you
Infographic showing various Remote Non Profit Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

Swish Analytics

San Francisco, CA • Remote

$160K/yr

Full-time

Posted 20 days ago

Job description

Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We\'re looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.

Duties

  • Support production systems and help triage issues during live sporting events

  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

  • Build new sports betting data products and predictions offerings

  • Integrate large and complex real-time datasets into new consumer and enterprise products

  • Develop production-level predictive analytics into enterprise-grade APIs

  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

  • BS/BA degree in Mathematics, Computer Science, or related STEM field

  • Minimum of 2+ years of demonstrated experience writing production level code (Python)

  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

  • Demonstrated experience with Kubernetes

  • Experience building end-to-end ETL pipelines

  • Experience utilizing REST APIs

  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)

  • Experience with web scraping and cleaning unstructured data

  • Knowledge of data science and machine learning concepts

  • A strong interest in sports and sports betting, with an emphasis on Tennis. An understanding of US-based sports including the NFL, NBA, MLB, NHL, College Football, College Basketball, and the ability use your knowledge of the sport to inform your work with complex datasets

Base Salary: Starting at $160,000 - DOE

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

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