Software Engineer: Data

Gauntlet; New York (NY); Remote; USD 165,000 - 205,000; Full time

Job summary

Join a forward-thinking company as a Software Engineer focusing on data systems. This innovative role involves designing and implementing scalable data processing solutions, collaborating with diverse teams, and driving data-driven decision-making. With a remote-first culture, competitive compensation, and a commitment to employee well-being, this position offers the chance to work at the cutting edge of DeFi economics. If you're passionate about data and eager to tackle unique challenges in a rapidly evolving field, this opportunity is perfect for you.

Benefits

Remote work from anywhere in the US & CAN

100% paid medical, dental, and vision premiums

Laptop provided

$1,500 WFH stipend

Monthly reimbursement for fitness-related expenses

Unlimited vacation policy

100% paid parental leave of 12 weeks

Fertility benefits

Regular in-person company retreats

Cross-country office visit perk

Qualifications

• 3+ years of experience in software development, focusing on backend data systems.
• Proficient in programming languages for data processing like Python or Rust.

Responsibilities

• Design and maintain scalable data processing solutions for Gauntlet's platforms.
• Collaborate with teams to enhance data ingestion and processing systems.

Skills

Software Development

Backend Data Systems

Python

Rust

Data Processing

Problem-Solving

Tools

Kafka

Job description

Join to apply for the Software Engineer: Data role at Gauntlet.

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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. 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 peer-reviewed papers addressing DeFi. 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.