TRM Labs15.02.26
AI SCORE 8.5

Senior Data Engineer - Data Product for Blockchain Solutions

$190K–$220K/year

About the Role

We are seeking a Senior Data Engineer to join our Data Product team at TRM Labs, a pioneering blockchain intelligence company dedicated to building a safer world. As a Senior Data Engineer remote, you will play a crucial role in designing and building mission-critical data services that analyze blockchain transaction activity at petabyte scale. Your work will directly contribute to creating a safer financial system for billions of people.

What You'll Do

  • Design and architect intricate data models for optimal storage and retrieval, ensuring sub-second latency for querying blockchain data.
  • Build highly scalable features that integrate with dozens of blockchains, enhancing TRM's products and services.
  • Collaborate with data scientists, backend engineers, and product managers to implement novel data models that meet user needs.
  • Write clear design documentation and communicate technical decisions effectively to both technical and non-technical stakeholders.
  • Mentor junior engineers and analysts, fostering a culture of continuous learning and improvement.
  • Utilize data processing technologies and streaming workflows including Dataflow, Spark, Kafka, and Flink.
  • Deploy and monitor infrastructure within public cloud platforms, using tools like Docker, Terraform, Kubernetes, and Datadog.
  • Drive critical investigations and deliver insights rapidly, often shipping products in days rather than months.

Requirements

  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of hands-on experience in architecting scalable API development and distributed system architecture.
  • Exceptional programming skills in Python, with proficiency in SQL or SparkSQL.
  • In-depth experience with data stores such as BigQuery and Postgres.
  • Experience in building data pipelines, data platforms, or ML/BI workflows from scratch.
  • Proficiency in data pipeline and workflow orchestration tools like Airflow and DBT.
  • Strong communication skills to articulate technical concepts clearly.
  • Cost-conscious design for performance, scale, and efficiency.

Nice to Have

  • Experience with LLMs or AI-powered workflows.
  • Familiarity with cross-chain data integration.
  • Previous work in a fast-paced, high-velocity environment.

What We Offer

  • Competitive salary range of $190,000 - $220,000 per year.
  • Eligibility for TRM’s equity plan.
  • Remote work flexibility with a high-impact team.
  • Opportunities for professional growth and mentorship.
  • A culture grounded in trust, transparency, and adaptability.
  • Regular assessments of processes and feedback to refine our work.
  • Access to cutting-edge technologies and tools.
  • Work on meaningful projects that protect civilization.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Engineer role at TRM Labs offers a unique opportunity to work in blockchain intelligence, with a competitive salary and a mission-driven culture.

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

Who Will Succeed Here

Proficient in Python and SQL with hands-on experience in building ETL pipelines using Airflow and dbt, ensuring efficient data transformation and quality.

Demonstrates a strong understanding of blockchain technology and its data structures, leveraging tools like Spark and Kafka to handle real-time data processing.

Possesses a proactive mindset with the ability to work independently in a remote setting, showcasing self-motivation and the ability to manage complex tasks with minimal supervision.

Learning Resources

Python for Data Engineeringcourse

Career Path

Senior Data Engineer - Data Product for Blockchain Solutions(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$8.5B
Annual Growth
22.5%
AI Adoption
45%
Investment in Data Solutions
+35%
Labour Demand for Data Engineers
+30%
Avg Salary for Senior Data Engineers
$135K

Skills & Requirements

Required
PythonSQLSparkSQL
Growing in Demand
Machine Learning with PythonData Visualization (e.g., Tableau, Power BI)Cloud Data Engineering (e.g., AWS, GCP)
Declining
HadoopTraditional ETL Tools (e.g., Informatica)

Domain Trends

Increased Demand for Real-Time Data Processing
With the rise of IoT and blockchain applications, there's a 40% increase in demand for real-time data processing capabilities, particularly using tools like Kafka and Spark.
Integration of AI with Data Engineering
Companies are increasingly integrating AI into their data pipelines, with 50% of organizations planning to adopt AI-driven analytics tools by 2025.
Shift Towards Serverless Data Solutions
The adoption of serverless architectures for data processing is expected to grow by 60%, as companies seek to reduce infrastructure costs and improve scalability.

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