Mid-Level/Senior Software Engineer

🕒 January 21

🏢🏡 New York City – Hybrid

💵 $110k - $125k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Logo of Syntax Data

Syntax Data

WebsiteLinkedIn

51 - 200 employees

💸 Finance

💳 Fintech

Finance • Fintech

Syntax Data is a company that provides a comprehensive and transparent financial data solution. They leverage their patented FIS® classification system to deliver deep insights, enabling users to understand and compare companies accurately at different revenue line levels for risk management and investment purposes. Syntax Data offers a range of solutions, including Syntax Direct for automated portfolio management, custom indices for tailored financial products, and Affinity for investment screening. Their tools aim to revolutionize financial analysis by transforming complex data into accessible and actionable insights.

📋 Description

• Designing, enhancing and maintaining large financial databases for use in web applications • Developing and maintaining database systems supporting the construction of performant, complex queries • Writing well-designed APIs and working with backend services • Creating flexible and intuitive client-facing JSON APIs for streaming data • Implementing dynamic front-end layouts to design specifications • Ensuring that mission critical systems and services operate smoothly by triaging and resolving operational issues as part of a team of on-call engineers • Collaborating with cross-functional teams to identify and solve complex problems

🎯 Requirements

• A bachelor’s degree or higher in computer science or a related discipline • Proficiency in relational database systems such as Postgresql • Familiarity with JavaScript and at least one modern front-end framework • An eye for code quality, familiarity with design patterns and best practices • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, agile environment • Strong communication skills and the ability to articulate technical concepts effectively to both technical and non-technical audiences • Experience with python and a dataframe library such as Polars or Pandas • Experience working in finance or financial technology • Prior professional experience working with and deploying to cloud environments such as AWS, DigitalOcean, or equivalent • Experience with Ruby on Rails or similar MVC framework • Familiarity with Infrastructure as Code and tooling such as Terraform or AWS CDK

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