Data Engineer

Data Engineer Location: New York, NY, US Industry: Financial services Work Setting: Hybrid Are you passionate about turning complex market data into actionable insights and building data-driven solutions that shape business decisions?

Join a fast-paced team where you'll collaborate closely with technical, analytical, and commercial stakeholders to track market dynamics, develop innovative analytics, and deliver impactful research products.

What You'll Do

• Build and maintain datasets covering market participants, infrastructure capacity, hardware assets, pricing information, and transaction activity, including integrating and automating data from new sources.
• Develop and enhance quantitative models for forecasting, cost analysis, profitability assessments, and asset valuation.
• Transform research and analysis into scalable, production-ready solutions through well-tested and maintainable code.
• Monitor market trends, competitive developments, emerging technologies, and key industry announcements to identify meaningful opportunities and risks.
• Support the design, validation, and continuous improvement of market methodologies, ensuring data quality and analytical rigor.
• Create clear visualizations, reports, and research content that help stakeholders understand market movements and business implications.
• Lead projects from initial concept through data collection, analysis, modeling, and final publication.

Requirements

• Strong proficiency in Python and SQL, with experience working in collaborative development environments using version control and code review practices.
• Experience in data analytics, data science, quantitative research, or a related field where analytical insights influenced strategic decisions.
• Solid understanding of statistical methods and the ability to identify data limitations, biases, and quality issues.
• Strong problem-solving skills, with the ability to convert ambiguous business questions into structured, evidence-based conclusions.
• Excellent written and verbal communication skills, including the ability to present technical findings to diverse audiences.
• Genuine interest in market intelligence, emerging technologies, and data-driven decision-making.
• Self-motivated and comfortable working independently in a dynamic and rapidly evolving environment.
• Strong project ownership mindset with the ability to manage tasks from conception to delivery.