Gauntlet Logo

Gauntlet

Software Engineer: Data

Posted 9 Days Ago
Remote
4 Locations
165K-205K Annually
Mid level
Remote
4 Locations
165K-205K Annually
Mid level
Design, implement, and maintain scalable data processing solutions, collaborating with data scientists and ensuring efficient data operations.
The summary above was generated by AI

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.  


#LI-Remote

Top Skills

Kafka
Python
Rust

Similar Jobs

6 Days Ago
Easy Apply
Remote
United States
Easy Apply
126K-212K Annually
Senior level
126K-212K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
As a Senior Data Platform Engineer, you'll build scalable infrastructure, optimize data workflows, and develop tools for data accessibility across teams.
Top Skills: AWSDatabricksDelta LakeGoKinesisLambdaS3SparkSqsTerraform
10 Days Ago
Remote
Hybrid
10 Locations
131K-209K
Senior level
131K-209K
Senior level
Fintech • HR Tech
Architect, build, and maintain data infrastructure, handle large datasets, and collaborate with teams to achieve goals. Take ownership of solutions.
Top Skills: AirflowAWSClickhouseEmrKafkaKinesisMskPythonRedshift
11 Days Ago
Remote
USA
186K-219K Annually
Senior level
186K-219K Annually
Senior level
Cloud • Fintech • Cryptocurrency • NFT • Web3
As a Senior Software Engineer on the Data Platform team, you will design, build, and operate foundational data services, manage data integrations, and ensure data security and observability while collaborating with various teams.
Top Skills: AirflowGoJavaKafkaPythonSparkSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account