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Backend Engineer - Indexing

Backend Data Engineer - Real-Time Crypto Analytics Infrastructure

Location: London, New York City (Office)

Compensation: $250K - $300K

We are a high-growth software development company of elite builders, redefining what's possible and proud contributors to the largest crypto social network globally. We are seeking a Backend Engineer focused on data to design and scale our real-time data infrastructure at the forefront of crypto and social finance. This role is for a self-starter who thrives on solving complex, high-throughput data challenges in a fast-paced environment.

You will own the end-to-end architecture and operation of our real-time analytics pipeline, ensuring low-latency insights are always available to internal and external stakeholders. This role requires interacting directly with high-throughput blockchain infrastructure and solving significant challenges related to data consistency, scale, and performance.

What You'll Do:

  • Data Ingestion: Interact directly with high-throughput full nodes and RPC infrastructure (e.g., Solana) to extract raw on-chain data.
  • Pipeline Development: Build and operate reliable pipelines that ingest blockchain data into OLAP systems (e.g., ClickHouse or similar) for low-latency analytics.
  • Architecture Ownership: Architect, ship, and own high-performance data solutions that power one of the world's largest crypto social networks.
  • Reliability: Maintain the accuracy, uptime, and performance of our analytics services, ensuring stakeholders always have trusted insights.
  • Problem Solving: Solve complex challenges around data consistency, scale, and performance where innovation and efficiency are paramount.
  • Collaboration: Own your work from concept to production, collaborating with a world-class team of engineers and product leaders.
  • Core Experience: Strong engineering experience in any of: backend systems, data engineering, distributed systems, or high-performance computing.
  • Database Skills: Experienced with databases, streaming systems, or analytics platforms (e.g., ClickHouse, TimescaleDB, or similar columnar/time-series databases).
  • Languages: Comfortable with Rust, Go, or other systems programming languages.
  • Domain Interest: Familiarity with crypto, DeFi, or blockchain technologies and passionate about building scalable platforms that handle massive data volumes.
  • Mindset: Ownership-driven, capable of leading features end-to-end with minimal guidance; a problem-solver who thrives in ambiguity and executes quickly.
  • Environment: Experienced in high-growth environments, startups, or fast-moving product teams where speed and impact matter.
  • Culture: Join a team of top-tier engineers that embodies a high-performance culture:
  • Speed over perfection—ship now, iterate later.
  • Ownership over bureaucracy—every person here makes big decisions.
  • Talent density over headcount—we hire the best, no exceptions.
  • Impact: Opportunity to build something game-changing at the forefront of crypto and social finance, pushing the boundaries of how people interact with digital money.
  • Compensation: Competitive compensation package (details provided upon inquiry).

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].

Average salary estimate

$275000 / YEARLY (est.)
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$250000K
$300000K

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Huntress is seeking a Staff Analytics Engineer to drive the technical vision, architecture, and delivery of a scalable cloud analytics platform while mentoring the analytics team in a fully remote role.

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DATE POSTED
December 31, 2025
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