Data Engineer

Tech Breakdown

• 30% Building & Maintaining Pipelines
• 30% Integrating & Ingesting Data
• 15% Data Storage & Platform Design
• 15% Data Quality & Reliability
• 10% Client & Platform Collaboration

Daily Responsibilities

• 70% Hands On
• 30% Team Collaboration

• Create APIs that make centrally proceed data available to customer base
• Optimize existing data processing to updated formats
• Design and automate data pipelines to handle large volumes of financial data, detect anomalies, and provide notifications when issues arise
• Be able to work closely with financial services clients to ensure data meets their need and deadlines
• Strong skills in Python, pandas, SQL, and financial data such as Bloomberg or Morningstar.
• BA/BS degree

Desired Skills & Experience

• Experience in C# or JavaScript
• Self-motivated individual with a strong work ethic

This company, based in Boston, is a fast-growing software company that specializes in portfolio intelligence and analytics, designed for investment managers. The company operates as a privately held firm in the financial services sector with a mission to centralize, enrich, and validate investment data so that the investment teams can focus on acting on insights instead of spending their time managing data instead. By combining robust data infrastructure with AI-driven insights they can deliver accurate, timely, and context-heavy insights and intelligence.