Data Engineer (Fintech, Analytics)

TL;DR

Data Engineer (Fintech, Analytics): Architecting and maintaining robust data ingestion and transformation pipelines for on-chain events and product telemetry with an accent on analytics infrastructure, data models, and self-serve reporting. Focus on turning raw data into reliable insights, building data foundations for experimentation, and ensuring data quality for business decision-making.

Location: New York (Onsite)

Salary: $140,000–$220,000

Company

hirify.global is a well-funded fintech startup building a transparent, permissionless trading stack on-chain.

What you will do

• Architect and maintain robust ingestion and transformation pipelines for on-chain events and product telemetry using AWS-native services.
• Build and own core data models covering user journeys, cohort analysis, and attribution.
• Design and maintain high-impact dashboards (Metabase, Looker, or similar) for key Go-To-Market metrics.
• Develop frameworks to analyze on-chain wallet behavior and enrich with off-chain context.
• Build the data foundations for A/B testing and growth experiments.
• Productionize pipelines into reliable services with CI/CD, automated tests, and data quality checks.

Requirements

• Strong experience in Python (pandas/polars, dbt) and expert-level SQL.
• Hands-on experience with the AWS ecosystem (S3, Athena, Glue, Redshift, Lambda, Step Functions).
• Proven ability to build self-serve reporting layers in tools like Metabase, Looker, Preset, or Tableau.
• Experience turning ad-hoc analysis into robust, versioned pipelines with CI/CD and reproducible environments.

Nice to have

• Experience with Go-To-Market 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.

Culture & Benefits

• Competitive compensation including high-growth salary, equity, and token grants.
• Work at the intersection of high-frequency finance and blockchain.
• Collaborate with veterans from top-tier trading and tech firms.
• Remote-first culture with flexible work arrangements.
• Stipends for professional development and the opportunity to own a massive vertical of the data stack.