Data Eng - Analytics and GTM

Location

New York

Work Arrangement

Onsite | Full-time

Compensation

$140K - $220K

About Us

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.

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Application Note: 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.

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