Data Engineer

About this role

Company:
Finstock, Inc.

Location:
Remote - United States preferred

Workplace type:
Remote

Job type:
Full-time

Compensation:
USD $105,000 - $130,000 annual base salary, depending on experience, technical depth, location, and role fit

Reporting line:
Engineering Lead

Collaboration tools:
Microsoft Teams, Outlook, Microsoft 365, GitHub, cloud data platforms, and company-approved productivity tools

About Finstock, Inc.

Finstock, Inc. builds AI-powered financial research, trading analytics, quantitative research, and market intelligence tools for experienced market users, analysts, research teams, and institutions.

Our products rely on clean, reliable, secure, and scalable data infrastructure across market data, financial statements, company disclosures, research workflows, analytics tools, and user-facing product features.

About the Role

We are hiring a Data Engineer to help build and maintain the data infrastructure behind Finstock’s financial research and market intelligence platform.

In this role, you will design, develop, test, and operate data pipelines that ingest, clean, transform, validate, and deliver financial and market-related data to internal systems, analyst workflows, AI-assisted research tools, and user-facing product features.

This is a remote role with a preference for candidates based in the United States. Candidates in other countries may be considered where Finstock, Inc. is able to engage them in compliance with applicable employment, tax, data protection, and operational requirements.

Key Responsibilities

• Design, build, and maintain scalable data pipelines for financial market data, company fundamentals, filings, corporate actions, news, research metadata, analytics outputs, and product usage data.
• Develop robust ETL/ELT workflows for batch and near-real-time data processing.
• Build and maintain data models, data marts, warehouse tables, and analytical datasets used by product, research, AI, and engi...