Software Engineer: Data

Gauntlet; United States; Remote; USD 165,000 - 205,000; Full time

Job summary

A leading company in DeFi seeks experienced software developers for its Data Team. Responsibilities include developing data processing solutions and collaborating with data scientists to enhance data systems. Ideal candidates will possess strong programming skills, particularly in Python or Rust, and relevant experience in handling data frameworks.

Benefits

Remote first - work from anywhere in the US & CAN

Competitive compensation packages

In-person company retreats

100% paid medical, dental and vision premiums

Laptop provided

$1,500 WFH stipend upon joining

$100 per month fitness expenses reimbursement

Monthly reimbursement for home internet

Unlimited vacation policy

100% paid parental leave of 12 weeks

Fertility benefits

Qualifications

• 3+ years of professional experience in software development.
• Proficient in at least one programming language for data processing.
• Experience with data ingestion and processing frameworks.

Responsibilities

• Design and maintain scalable data processing solutions.
• Collaborate with teams to enhance data ingestion systems.
• Troubleshoot and resolve data-related software issues.

Skills

Problem-solving

Analytical skills

Tools

Kafka

Python

Rust

Job description

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.

Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City.

Gauntlet’s mission is to drive adoption and understanding in the financial systems of the future. Building with decentralized systems creates novel challenges for mechanism designers, smart contract developers, and end-users of financial products, which are not seen in traditional software development and investing contexts. Gauntlet is dedicated to enhancing our industry’s understanding of this new domain and revealing how to safely navigate the true bleeding edge of 21st-century financial innovation.

Team Overview

The Data Team is responsible for developing and maintaining robust data pipelines that ensure the accuracy and availability of data across the organization. They work closely with other teams to provide insights and analytics that drive business strategies and optimize performance. The Data Team enhances the company's data-driven decision-making capabilities by leveraging advanced data processing frameworks and tools.

Responsibilities

• Design, implement, and maintain scalable data processing solutions for Gauntlet’s data platforms, focusing on high availability and performance.
• Collaborate with data scientists and product managers to develop and enhance data ingestion and processing systems tailored to the needs of the data team.
• Participate in code and design reviews specific to data projects, offering constructive feedback and ensuring adherence to best practices in data software development.
• Stay informed about emerging data technologies and industry trends to drive innovation and improve data system architecture.
• Develop and maintain technical documentation to support data system operations and facilitate knowledge sharing within the data team.
• Identify, troubleshoot, and resolve data-related software issues, ensuring the reliability and efficiency of the data platform's services.

Qualifications

• 3+ years of professional experience in software development, with a focus on backend data systems.
• Proficient in at least one programming language commonly used for data processing and streaming applications, such as Python or Rust, within a data team context
• Experience with data ingestion and processing frameworks, such as Kafka, tailored to the needs of a data team
• Excellent problem-solving and analytical skills, with a focus on building scalable and efficient data systems

Bonus Points

• Strong understanding of blockchain technology and DeFi protocols, with a keen interest in expanding knowledge in these areas, especially regarding data systems.
• Experience in building real-time applications or systems.
• Knowledge of Rust

Benefits and Perks

• Remote first - work from anywhere in the US & CAN!
• Competitive packages with the added opportunity for incentive-based compensation
• Regular in-person company retreats and cross-country "office visit" perk
• 100% paid medical, dental and vision premiums for employees
• Laptop provided
• $1,500 WFH stipend upon joining
• $100 per month reimbursement for fitness-related expenses
• Monthly reimbursement for home internet, phone, and cellular data
• Unlimited vacation policy
• 100% paid parental leave of 12 weeks
• Fertility benefits

Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.

The national pay range for this role is $165,000 - $205,000 plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.

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