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Crystal Intelligence

Crystal Intelligence

via Teamtailor

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Senior Data Platform Engineer (Remote)

Anywhere
full-time
Posted 9/3/2025
Direct Apply
Key Skills:
Python backend services
SQL
PostgreSQL
Flask or FastAPI
Docker
Kubernetes
Blockchain technologies
Unit Testing
POSIX/Unix/Linux

Compensation

Salary Range

$120K - 160K a year

Responsibilities

Develop and maintain blockchain data pipelines and backend services including integration of blockchains and AMM protocols, feature design, implementation, and code review.

Requirements

8+ years Python backend experience, advanced SQL, PostgreSQL, Docker, Linux knowledge, API frameworks like Flask/FastAPI, and blockchain knowledge or willingness to learn.

Full Description

Position Summary: We are looking for a talented Senior Data Platform Engineer to join our Blockchain team, to participate in the development of the data collection and processing framework to integrate new chains. This is a remote role and we are flexible with considering applications from anywhere in Europe. More details: crystalblockchain.com Duties and responsibilities: Integration of blockchains, Automated Market Maker (AMM) protocols, and bridges within Crystal's platform; Active participation in development and maintenance of our data pipelines and backend services; Integrate new technologies into our processes and tools; End-to-end feature designing and implementation; Code, debug, test and deliver features and improvements in a continuous manner; Provide code review, assistance and feedback for other team members. Required: 8+ years of experience developing Python backend services and APIs; Advanced knowledge of SQL - ability to write, understand and debug complex queries; Data Warehousing and database basic architecture principles; POSIX/Unix/Linux ecosystem knowledge; Strong knowledge and experience with Python, and API frameworks such as Flask or FastAPI; Knowledge about blockchain technologies or willingness to learn; Experience with PostgreSQL database system; Knowledge of Unit Testing principles; Experience with Docker containers and proven ability to migrate existing services; Independent and autonomous way of working; Team-oriented work and good communication skills are an asset. Would be a plus: Practical experience in big data and frameworks – Kafka, Spark, Flink, Data Lakes and Analytical Databases such as ClickHouse; Knowledge of Kubernetes and Infrastructure as Code – Terraform and Ansible; Passion for Bitcoin and Blockchain technologies; Experience with distributed systems; Experience with opensource solutions; Experience with Java or willingness to learn.

This job posting was last updated on 9/5/2025

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