Nansen.ai18.02.26
AI SCORE 8.5

Remote Senior Data Engineer - Blockchain Analytics

$120K–$150K/year

About the Role

We are looking for a Remote Senior Data Engineer to join our team at Nansen.ai, a leading blockchain analytics platform. In this role, you will play a crucial part in scaling our data infrastructure to meet the increasing complexity and volume of the crypto ecosystem. As a Senior Data Engineer, you will focus on data ingestion, pipeline reliability, and core datasets, ensuring that raw and processed blockchain data flows reliably and cleanly into Nansen’s core data platform.

What You'll Do

  • Design, build, and scale performant data pipelines and infrastructure, primarily using ClickHouse, Python, and dbt.
  • Build systems that handle large-scale streaming and batch data, emphasizing correctness and operational stability.
  • Own the end-to-end lifecycle of data pipelines, from raw ingestion to clean, well-defined datasets consumed by downstream teams.
  • Improve pipeline observability, data quality checks, and failure handling to ensure predictable operation at scale.
  • Collaborate closely with data consumers (data engineers, product engineers, researchers) to define clear dataset contracts and schemas.
  • Utilize AI tools and agents such as Cursor, MCPs, and LLMs to accelerate development, automate repetitive work, and enhance quality.
  • Stay current with best practices and evolve your toolkit over time, bringing fresh thinking to the table.

Requirements

  • Proven experience building and operating production data pipelines that run continuously and reliably.
  • Strong data engineering and software engineering fundamentals, with deep experience in Python and SQL.
  • Hands-on experience with ClickHouse and dbt in production environments.
  • Solid understanding of streaming and batch ingestion patterns, including backfills, reprocessing, and schema evolution.
  • Comfortable working across the data infrastructure stack: ingestion, transformation, storage, and exposure to downstream systems.
  • Experience designing clean, reusable datasets intended as foundations for other teams.

What We Offer

  • Competitive salary range of $120,000 - $150,000 annually.
  • Fully remote work environment with flexible hours.
  • Opportunity to work with cutting-edge technologies in the blockchain space.
  • Collaborative and high-performing team culture.
  • Access to professional development resources and training.
  • Health and wellness benefits.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work at the intersection of data engineering and blockchain technology, providing impactful insights in a rapidly evolving industry.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in Python and SQL with practical experience in building and optimizing data pipelines using Clickhouse and dbt to ensure high performance and reliability in blockchain analytics.

Strong analytical mindset with a focus on leveraging AI tools to automate data processing and enhance data quality, enabling efficient handling of large datasets in a remote work environment.

Demonstrated experience in managing complex data ecosystems, with a proactive approach to problem-solving and the ability to adapt to the rapidly evolving landscape of blockchain technology.

Learning Resources

Python for Data Engineeringcourse

Career Path

Remote Senior Data Engineer - Blockchain Analytics(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$10.2B
Annual Growth
12.5%
AI Adoption in Data Engineering
68%
Investment in Blockchain Analytics
+150%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$145K

Skills & Requirements

Required
PythonSQLClickhouse
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Power BI)Apache Kafka
Declining
HadoopRExcel for Data Analysis

Domain Trends

Increased Adoption of Blockchain for Data Integrity
Organizations are increasingly adopting blockchain technologies to ensure data integrity and security, with a projected increase of 40% in companies utilizing blockchain for data analytics by 2025.
Integration of AI in Data Pipelines
The integration of AI tools in data pipelines is rising sharply, with 75% of data engineering teams expected to implement AI-driven solutions by 2025 to enhance efficiency and predictive analytics.
Demand for Real-Time Analytics
The demand for real-time analytics is growing, with a 50% increase in companies prioritizing real-time data processing capabilities, especially in financial and cybersecurity sectors.

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