Engineer - Investments (Python)

TL;DR

Engineer - Investments (Python): Building and managing data pipelines, scrapers, and a data lake for a multi-billion dollar investment portfolio with an accent on market data integration and tool development. Focus on developing backtesting frameworks, portfolio simulators, and broker API integrations to optimize investment strategies.

Location: Hybrid in São Paulo

Company

hirify.global is a fintech company building the future of financial services with a data-driven approach to funding and scaling products.

What you will do

• Build and operate data pipelines for prices, volumes, fundamentals, and SEC EDGAR filings from market data providers.
• Develop scrapers to collect earnings materials and investor relations documents from listed companies.
• Design and maintain the fund's data lake to ensure the investment team has access to clean and reliable data.
• Build strategy tools, including screenings, signal testing, backtests, and a portfolio simulator.
• Integrate systems with broker APIs for execution, reconciliation, and reporting.
• Implement AI tools to enhance analysis, productivity, and insights.

Requirements

• Proficiency in Python and working knowledge of SQL.
• Experience building data pipelines, scrapers, or API integrations.
• Strong data analysis skills and a critical approach to results.
• High agency and the ability to take ownership in a fast-changing environment.
• Genuine interest in financial markets and using AI in daily workflows.
• English: Upper-intermediate to advanced level.

Nice to have

• Experience with cloud data stacks such as AWS, GCP, or BigQuery and pipeline orchestration.
• Knowledge of financial or market data (tick data, fundamentals, filings).
• Experience with quantitative work, backtesting, or building trading bots.
• Previous experience at fintechs, funds, brokerages, or data-heavy companies.

Culture & Benefits

• Opportunity to directly shape the growth and structure of a multi-billion dollar portfolio.
• High-ownership environment for those who enjoy building meaningful systems from zero.
• Data-driven culture with a strong emphasis on market connectivity.
• Integration of cutting-edge AI tools into the professional workflow.