SchooLinks is a modern college- and career-readiness platform designed to empower K-12 districts with tools that help students discover paths, plan their futures, and achieve post-secondary success. We are a fast-growing, mission-driven team building intuitive, data-driven products for counselors, administrators, students, and families.

We are looking for a Product Support Software Engineer who combines strong technical debugging skills with empathy for users. You will work at the intersection of engineering, customer success, and product to diagnose issues, support data workflows, build internal tools, and ensure a stable and accurate experience for our district partners.

Role Responsibilities

The Product Support Software Engineer plays a critical role in both production issue triage and data-related troubleshooting.

Diagnose and troubleshoot product-related issues
Investigate and resolve problems related to data configurations, system settings, user permissions, and workflow logic.
Troubleshoot data inconsistencies and malformed datasets using Python, Pandas, and Django ORM.
Investigate issues arising from district-specific configurations and SIS integrations.
Validate and analyze data transformations and end-to-end data flows.
Monitor, maintain, and troubleshoot the district data ingestion pipeline, which processes high-volume datasets from various sources.
Identify and resolve ETL failures, mapping errors, transformation issues, and validation gaps.
Work to improve pipeline reliability, scalability, and accuracy.
Write and maintain custom scripts for tasks such as:
Report generation
One-off or recurring data transformations
Data movement between users
Cleanup or validation routines
Build internal tools that streamline debugging, data validation, or support operations.
Act as a technical escalation point for customer success on data and configuration issues.
Collaborate with engineering and product teams on root cause analysis and long-term solutions.

Requirements

4+ years experience in software engineering, technical support engineering, or similar roles.
Strong proficiency with Python and Django in a production environment.
Experience using Pandas for data manipulation, analysis, and transformation.
Hands-on SQL experience and comfort working with large datasets.
Strong debugging skills and ability to trace issues across data and backend systems.
Clear English communication skills and ability to work with both technical and non-technical stakeholders.
Experience working with ETL pipelines or high-volume data ingestion systems.
Familiarity with Celery, MySQL/PostgreSQL, AWS Lambda, or other AWS systems.
Experience with scripting or automation for support operations.
Background in EdTech or K-12 data systems is a plus.
Experience with frontend frameworks (React) is helpful but not required