Data Engineer

Remote (United States)

Overview

Join a highly motivated, mission-driven team working to increase funding for high-impact nonprofits. This is a full-time, remote role where you’ll help build and maintain the data infrastructure and processes that power internal and external business intelligence.

Our data platform processes 7TB+ of data every 90 minutes, delivering complex analytics to partners and actionable insights to internal stakeholders. You’ll work hands-on with modern open-source data technologies, ship new features, and improve existing functionality through bug fixes and enhancements.

Compensation

Base salary range: $140,000–$165,000 per year, depending on experience and qualifications.

Total annual compensation: $154,000–$181,500 per year, including an up to 10% annual performance-based bonus.

Additional compensation: Stock options.

Data Tech Stack

• Apache Spark (PySpark)
• Kubernetes on EKS (k9s, Helm, eksctl)
• Apache Airflow (workflow orchestration)
• pytest (test automation)
• uv (Python package manager)
• Snowflake (data warehouse)
• S3 (object storage / data lake)

What You’ll Do

• Design and plan new data platform solutions in collaboration with the Staff Data Engineer, product partners, and internal stakeholders using RFCs and technical specs.
• Build and deliver high-quality software with strong engineering fundamentals.
• Partner with teammates to plan and execute new features with a clear focus on data platform requirements.
• Own execution from specification through delivery, with support from senior peers.
• Grow your impact through code reviews, pairing, 1:1s, and team trainings.
• Develop deep expertise in the data ecosystem and reporting platform to support Client Strategy, Business Operations, and partners.
• Balance practical delivery with thoughtful management of technical debt.
• Learn the nonprofit giving and e-commerce enablement space and apply that context to your work.
• Contribute to a team culture rooted in community, inclusivity, care, accountability, and support.
• Drive continuous improvement through goal setting, feedback, and growth opportunities.

What We’re Looking For

• 2+ years using Python and SQL to build data-intensive applications or insights, or 3+ years as a Software Engineer using Python and SQL in a primarily Python codebase.
• Experience working on production data systems in a collaborative team environment.
• Strong proficiency in Python and SQL.
• Working knowledge of relational databases, especially PostgreSQL.
• Familiarity with observability, performance optimization, CI, automated testing, and cloud infrastructure.
• Understanding of distributed computing, data warehouse concepts, and data lake storage patterns.
• Excellent communication skills, including the ability to explain and advocate for technical initiatives to non-technical stakeholders.

Nice to Have

• Experience in an early-stage startup environment.
• Experience with BI tools (e.g., Tableau).
• Hands-on experience with Apache Spark, Apache Airflow, or Kubernetes.
• Bachelor’s degree in Computer Science or a related field (or equivalent training/fellowship/work experience).

Perks & Benefits

• 401(k) with a 50% match on contributions up to 6% of base salary
• $100/month wellness stipend
• $750/year professional development budget
• Stock options