Talantix.io
TRM Labs•26.02.26
AI SCORE 8.5

Senior Data Engineer - Attribution Expansion for Blockchain Analytics

$120K–$150K/year
RemoteBlockchain Analytics
SQL•Python•Airflow•Spark•BigQuery•Kubernetes•Data Modeling•Machine Learning

About the Role

We are seeking a Senior Data Engineer to join our Attribution Expansion team at TRM Labs. This Senior Data Engineer remote position will allow you to design, build, and operate data infrastructure that transforms noisy on-chain activity into reliable attribution signals at scale. You will collaborate with blockchain experts, data scientists, and software engineers to enhance our blockchain analytics capabilities.

What You'll Do

  • Design and implement data pipelines that convert on-chain data into high-quality attribution signals.
  • Collaborate with cross-functional teams to standardize algorithm implementations and data models.
  • Ensure the reliability and performance of attribution systems through robust monitoring and data quality checks.
  • Improve developer experience by providing templates, tooling, and CI/CD configurations.
  • Write high-quality code in SQL and Python, focusing on scalability and performance.

Requirements

  • 5+ years of experience as a Data Engineer, with a strong focus on blockchain analytics.
  • Proficient in SQL and Python, with experience in Airflow and handling large datasets.
  • Familiarity with data modeling, distributed processing, and data warehousing technologies.
  • Experience with tools such as Spark, BigQuery, and Kubernetes.
  • Strong communication skills to convey complex ideas to both technical and non-technical audiences.

Nice to Have

  • Experience with machine learning infrastructure and tools like MLflow and Feast.
  • Interest in cryptocurrency and blockchain analysis.

What We Offer

  • Competitive salary and benefits package.
  • Remote work flexibility with a distributed-first company culture.
  • Opportunity to work on impactful projects that contribute to a safer financial system.
  • Access to continuous learning and professional development resources.
  • Collaborative and innovative work environment with a focus on experimentation and speed.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Engineer role at TRM Labs offers a unique opportunity to work on impactful blockchain analytics projects in a fully remote environment, with a competitive salary and a focus on innovation.

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

Who Will Succeed Here

→

Proficient in SQL and Python with a strong grasp of data modeling techniques, enabling effective manipulation of large datasets in BigQuery and seamless integration with Airflow for ETL processes.

→

Self-motivated and disciplined individual capable of thriving in a fully remote work environment, demonstrating exceptional time management and proactive communication skills to collaborate with cross-functional teams across different time zones.

→

Experienced in leveraging Kubernetes for container orchestration, with a solid understanding of Spark for distributed data processing, and familiarity with machine learning concepts to derive insights from complex blockchain data.

Learning Resources

→Learn SQL for Data Sciencecourse
→Data Engineering with Google Cloudcourse
→Apache Airflow Documentationguide

Career Path

Senior Data Engineer - Attribution Expansion for Blockchain Analytics(Now)→Lead Data Engineer(1-2 years)→Data Engineering Manager(3-5 years)

Market Overview

SQL Market Size 2024
$12.5B
Annual Growth (SQL)
10.2%
AI Adoption in Data Engineering
60%
Investment in Data Analytics
+45%
Labour Demand for Data Engineers
+35%
Avg Salary for Senior Data Engineers
$135K

Skills & Requirements

Required
SQLPythonAirflow
Growing in Demand
Data WarehousingETL ProcessesCloud Data Solutions
Declining
Traditional RDBMS (e.g., Oracle DB)Hadoop MapReduce

Domain Trends

Rise of Data Mesh Architecture
Organizations are shifting towards data mesh architecture, with 30% of companies adopting this model by 2025 to enhance data accessibility and scalability.
Increased Use of Serverless Data Solutions
Serverless data solutions are projected to grow by 50% in the next two years, allowing for more efficient data processing and reduced infrastructure costs.
Integration of Blockchain in Data Analytics
The integration of blockchain technology in data analytics is expected to increase by 40% as companies seek to enhance data security and traceability.

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