Data Eng - Analytics and GTM

Company: MLabs
Location: New York City
Posted on: February 15, 2026

Job Description:

Job Description Job Description Data Eng - Analytics and GTM Location: New york Onsite | Full-time Compensation: $140K - $220K We are an aggressively growing, well-funded fintech startup (Series A, $27.9M raised) on a mission to bring full transparency to global trading. We are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built on-chain. By leveraging open, auditable code, we ensure that every trade, deposit, and withdrawal is verifiable. Backed by world-class investors including General Catalyst, Jump, and Susquehanna , we are looking for a Data Engineer to build the analytics engine that will power our next phase of growth. The Role As our Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help us understand our users, optimize our growth motion, and drive better decision-making across the business. Your mandate is to turn raw on-chain and product data into reliable, self-serve analytics that fuel acquisition, retention, and revenue. What You’ll Do Data Pipelines: Architect and maintain robust ingestion and transformation pipelines for on-chain events, product telemetry, and third-party marketing/CRM data using AWS-native services. Analytics Infrastructure: Build and own core data models—covering user journeys, cohort analysis, attribution, and LTV—to enable self-serve reporting for Growth and Marketing teams. Dashboards & Reporting: Design and maintain high-impact dashboards (Metabase, Looker, or similar) that surface key GTM metrics like activation rates and trading behavior. User & Wallet Analytics: Develop frameworks to analyze on-chain wallet behavior (deposit patterns, churn signals) and enrich them with off-chain context. Experimentation: Build the data foundations for A/B testing and growth experiments, ensuring clean event tracking and statistical rigor. Productionization: Package pipelines into reliable services with CI/CD, automated tests, and data quality checks that the entire stakeholder team can trust. Requirements Engineering Fluency: Strong experience in Python (pandas/polars, dbt) and expert-level SQL . Cloud Infrastructure: Hands-on experience with the AWS ecosystem (S3, Athena, Glue, Redshift, Lambda, Step Functions). BI & Visualization: Proven ability to build self-serve reporting layers in tools like Metabase, Looker, Preset, or Tableau. Production Mindset: Experience turning ad-hoc analysis into robust, versioned pipelines with CI/CD and reproducible environments. Bonus Points If You Have Experience with GTM analytics (attribution modeling, funnel analysis, or marketing mix measurement). Familiarity with crypto/DeFi data and on-chain event streams (The Graph, Dune, RPC logs). Experience with orchestration and data quality tools (Airflow, Dagster, Great Expectations). Exposure to product analytics tools like Amplitude, Mixpanel, or Segment. Benefits Competitive Compensation: High-growth salary equity and token grants . Cutting-Edge Tech: Work at the intersection of high-frequency finance and blockchain. Talented Team: Collaborate with veterans from top-tier trading and tech firms. Flexibility: Remote-first culture with flexible work arrangements. Professional Growth: Stipends for development and the opportunity to own a massive vertical of the data stack. 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 human- resources@mlabs.city. 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 legal@mlabs.city.

Keywords: MLabs, White Plains , Data Eng - Analytics and GTM, IT / Software / Systems , New York City, New York