reproducible

Data Eng - Analytics and GTM

posted by: spj_bot

Data Eng - Analytics and GTM

Location: New york

Onsite | Full-time

Compensation: $140K - $220K

We are hiring on behalf of our client, an aggressively growing, well-funded fintech startup (Series A, $27.9M+ raised) on a mission to bring full transparency to global trading. They 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, they are looking for a Data Engineer to build the analytics engine that will power their next phase of growth.

The Role

As the Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help them understand their users, optimize their 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

Job Skills

View the job post & apply
Login/Signup

Data Engineer

posted by: spj_bot

Senior Data Engineer (Monitoring & Parameter Systems)

Location: Porto, Portugal (Full-Time)

Category: Engineering / Data Science

Compensation: $140K - $300K

We are on a simple mission: to make it possible for anyone with a digital wallet to trade stocks, commodities, currencies, and crypto with full transparency. We are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built entirely on-chain. Every trade, deposit, and withdrawal on our platform is verifiable through open, auditable code.

To date, we have raised $27.9M+ from top-tier investors including General Catalyst, Jump, Susquehanna (SIG), Alliance DAO, and Balaji Srinivasan.

We are seeking a Data Engineer (Monitoring & Parameter Systems) to architect and operate the analytics, observability, and parameter-proposal infrastructure that keeps our protocol safe and economically sound. You will serve as the critical bridge between protocol mechanics—such as fees, spreads, and liquidations—and production-grade data systems. Your mandate is to translate complex economic models into reliable pipelines and monitoring services that ensure the protocol remains healthy across all markets.

Responsibilities

Job Skills

professional incident response validation stocks security policy equity operate statistical models data research data engineer integration DAO accrual high frequency trading safety systems mechanics sql dashboards computer science time series parameter data quality validating transparency bridge translate tooling airflow experience design safe senior engineer library service data engineering python finance high frequency reproducible reliable parsing managed securely analytics workflows blockchain anomaly detection economic catalyst grafana market datum quality data science economic models collaborative data systems stakes infrastructure monitoring systems auditable code brokerage applicable data athena development support models dynamic researchers liquidations data pipelines transformation prometheus indexing
View the job post & apply
Login/Signup

Machine Learning Engineer (with Vertex AI Experience)

posted by: spj_bot

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

Job Skills

View the job post & apply
Login/Signup

Senior Machine Learning Engineer (GCP)

posted by: spj_bot

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

Job Skills

View the job post & apply
Login/Signup
Subscribe to reproducible

SPJ is not just a platform; it's a transformative force in the maritime sector. We reinvent job discovery and collaboration, leveraging cutting-edge AI to create a space where careers thrive and innovations set sail.

Featured Posts

Contact