Senior Software Engineer

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YipitData

201 - 500 employees

💸 Finance

🏢 Enterprise

Finance • Enterprise • Data Analysis

YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.

📋 Description

• Own features and systems end-to-end across multiple product surfaces, including architecture, implementation, deployment, and iteration • Design clean, maintainable, scalable systems • Work directly with engineering, product, data, revenue, and customer stakeholders to translate business problems into shipped software • Drive cross-team initiatives and shape what gets built and why • Use Claude Code, Cursor, and Codex for implementation, code review, testing, documentation, and exploration • Operate across backend services, frontend applications, data pipelines, and infrastructure • Make pragmatic technical decisions balancing speed, quality, and maintainability • Raise engineering standards through code quality, tooling improvements, and knowledge sharing • Proactively identify opportunities, improve systems, and drive business outcomes • Own production-grade systems used daily by customers and internal teams; remain responsive, reliable, and communicative

🎯 Requirements

• 4+ years of hands-on software development experience • Proven track record of shipping customer-facing applications and demonstrating impact • Experience across Python, TypeScript/React, and cloud infrastructure including AWS and Databricks • Daily use of AI coding tools as part of an AI-accelerated workflow • Ability to work through ambiguity and deliver solutions without heavy-handed direction • Strong communication with non-technical stakeholders and ability to translate business needs into engineering tradeoffs • Responsiveness, reliability, and ownership of production systems • Bias toward action and ownership • Bachelor's or Master's degree in Computer Science, STEM, or a related technical discipline • Must not currently or in the future require visa sponsorship • Candidates must be able to work remotely within the United States

🏖️ Benefits

• Flexible work hours • Flexible vacation • Generous 401K match • Parental leave • Team events • Wellness budget • Learning reimbursement • Comprehensive benefits and perks • Growth determined by impact rather than tenure, unnecessary facetime, or office politics

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