Data Engineer (Lambda) (Remote - Anywhere)

Jobgether

78d

About The Position

As a Data Engineer, you will be at the forefront of building and maintaining the infrastructure that powers large-scale, multi-chain crypto data systems. You will design and optimize ETL pipelines, develop high-performance data models, and ensure data reliability for real-time and historical analytics. This role offers the opportunity to work on complex blockchain datasets, integrating multiple sources and building automation tools that improve operational efficiency. You will collaborate closely with a globally distributed team of engineers and analysts, applying best practices in data engineering, automation, and scalability. The position provides autonomy, exposure to cutting-edge technologies, and the chance to influence critical data workflows that drive decision-making for investors and institutions. Your work will directly impact the quality and accessibility of crypto financial data.

Requirements

• 4+ years of experience in Data Engineering, focusing on ETL/ELT, streaming systems, and data pipelines.
• Strong SQL skills with columnar databases such as ClickHouse, Druid, or BigQuery.
• Hands-on experience with streaming frameworks such as Flink or Kafka.
• Proficiency in Python for data engineering, automation, and backend services.
• Experience delivering production-grade pipelines and data features on schedule.
• Strong focus on automation, reliability, maintainability, and documentation.
• Startup mindset with the ability to balance speed, quality, and innovation.

Nice To Haves

• Familiarity with multi-chain crypto ecosystems and blockchain data structures.
• Knowledge of CI/CD for data pipelines, testing frameworks, and performance tuning of ClickHouse.

Responsibilities

• Design, maintain, and scale streaming ETL pipelines for blockchain and multi-chain data.
• Build and optimize ClickHouse data models, materialized views, and transformations for high-performance analytics.
• Develop and maintain data exporters and orchestration workflows, ensuring accuracy and timeliness.
• Implement testing, monitoring, automation, and migration processes to enhance pipeline reliability.
• Aggregate multiple data sources, including third-party indexers and Kafka topics, into structured tables for API consumption.
• Collaborate with analysts and engineering teams to deliver reliable and scalable data services.

Benefits

• Fully remote, worldwide position with flexible working hours.
• Competitive salary, with the option for crypto-based compensation.
• Full-time, indefinite-term consultancy agreement.
• Well-being and mental health programs.
• Support for professional growth, education, and language courses.
• Equipment and co-working reimbursement program.
• Opportunities to attend overseas conferences and community immersion events.
• Positive, collaborative, and globally distributed team culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees