Backend Engineer, Data Infrastructure

About Finrep

Finrep is an AI-powered SEC financial reporting platform used by public companies to prepare, review, and file 10-Qs, 10-Ks, and other disclosure documents. We are seed-stage, backed by Accel, and serve 10+ public company customers today. The engineering team is small and high-ownership. Every person here builds core infrastructure, not periphery.

The Role

We are hiring a Data Engineer to own the data infrastructure that powers Finrep's core product: ingestion and parsing of SEC filings, XBRL taxonomies, and financial disclosure documents; ETL orchestration; search indexing; and data synchronization across systems.

You will work with complex, semi-structured financial data (not clean relational rows) and build pipelines that need to be reliable, idempotent, and observable. This is a founding-level role. You will shape how Finrep's data layer scales from here.

What You Will Do

• Build and maintain backend services using Python, Django, and Django REST Framework
• Design and operate ETL pipelines on Prefect, deployed on GCP Cloud Run
• Build ingestion and parsing pipelines for SEC 10-Q/10-K filings, XBRL taxonomies, and disclosure documents
• Build and optimize search infrastructure on OpenSearch: indexing, relevance tuning, query performance
• Design and maintain CDC pipelines for data synchronization between PostgreSQL and OpenSearch
• Work with Pub/Sub and Celery for async processing, background jobs, and task orchestration
• Instrument observability, improve reliability, and optimize cost across data infrastructure

What We Are Looking For

• 2 to 4 years of hands-on backend engineering experience in Python
• Experience with Django and Django REST Framework
• Solid understanding of PostgreSQL: schema design, query optimization, indexing
• Experience building ETL pipelines, workflow orchestration, or background job systems
• Understanding of retries, dead-letter queues, idempotency, and failure handling in async systems
• Experience with cloud infrastructure on GCP or AWS (Cloud Run, Cloud Functions, or equivalent)
• Comfort working with semi-structured or document-oriented data (XML, HTML, nested hierarchies), not just flat tables
• Strong debugging instincts and a default-to-ownership mindset

Bonus

• Experience with OpenSearch or Elasticsearch
• Experience with Prefect
• Experience with CDC or event-driven data sync pipelines
• Familiarity with SEC filings, XBRL, or financial reporting data
• Exposure to working alongside agentic systems

Tech Stack

Python, Django, DRF, PostgreSQL, OpenSearch, Prefect, GCP Cloud Run, Pub/Sub, Celery, Docker

Why This Role

You get founding-level ownership of data infrastructure at an AI company solving a real, underserved problem in public company financial reporting. The domain is complex, the data is non-trivial, and the surface area is wide enough that you will not run out of hard problems.