Onsite NYC Operations Tools & Data Engineer

arch.co; New York (NY); On-site; USD 28,000 - 48,000; Full time

Benefits offered by this job

Strong team

High impact work

Product market fit

Team camaraderie

Office at 199 Water Street

Lunch on us

Job summary

Arch, a fast-growing fintech, seeks an Operations Engineer intern in New York City to join our Client Operations team. You will help build internal tools and data pipelines that process Arch's alternative investment data, collaborating with engineers and data teams.

You should be proficient in JavaScript and SQL, with a quick learning mindset and strong communication. The role emphasizes hands-on work, data quality, and real impact in a startup environment.

Qualifications

• Proficient in JavaScript or another mainstream programming language.
• Know SQL.
• Quick learner who enjoys collaborating and solving ambiguous problems.
• Enjoy writing code to process and understand data with a high degree of accuracy
• Are interested in alternative investments and/or financial services
• Communicate well and professionally

Responsibilities

• Developing new features for internal, employee-used web platforms
• Building, refining, maintaining, and monitoring Arch's data acquisition and processing pipelines
• Automating the acquisition and extraction of financial data from many sources
• Applying both traditional data processing methods and generative AI to acquire and structure data
• Reviewing automation outputs to ensure quality and correctness, and tracking and improving Arch's data quality and processing efficiency
• Overseeing execution and maintenance of a suite of scripts and other internal tooling that supports core business functions
• Assisting with debugging, investigation, and troubleshooting errors

Skills

JavaScript

SQL

React

Job description

Arch, a fast-growing fintech, seeks an Operations Engineer intern in New York City to join our Client Operations team. You will help build internal tools and data pipelines that process Arch's alternative investment data, collaborating with engineers and data teams.

You should be proficient in JavaScript and SQL, with a quick learning mindset and strong communication. The role emphasizes hands-on work, data quality, and real impact in a startup environment.