Senior Data Engineer building Dandy’s data infrastructure for its technology - powered dental operating system. Developing pipelines, governed data products, and AI - ready platform capabilities.
About the role
- Staff data engineer building scalable blockchain intelligence systems for TRM Labs, an AI-powered crime-fighting intelligence company. Architecting petabyte-scale data services and mentoring engineers across distributed teams.
Responsibilities
- Build highly scalable features integrating with dozens of blockchains
- Design and architect data models for optimal storage and retrieval with sub-second blockchain-data query latency
- Collaborate with data scientists, backend engineers, product managers, and customer-facing teams to design scalable data solutions
- Understand user needs and translate them into scalable data products
- Write clear design documents, communicate tradeoffs, and build cross-disciplinary alignment
- Drive scoping and execution of projects impacting multiple teams
- Partner with stakeholders on product vision and technical roadmaps
- Ensure system health and quality through operational reviews, testing strategies, and monitoring rigor
- Build and deliver data services analyzing blockchain transaction activity at petabyte scale
- Mentor engineers and analysts and improve team capabilities
Requirements
- Bachelor's degree (or equivalent) in Computer Science or a related field
- 5+ years of hands-on experience architecting scalable API development and distributed system architecture, and guiding projects from ideation through production deployment
- Exceptional programming skills in Python
- Adeptness in SQL or SparkSQL
- Experience with data stores such as BigQuery and Postgres
- Experience building pipelines, data platforms, or ML/BI workflows from scratch
- Proficiency with Airflow and DBT
- Expertise in Dataflow, Spark, Kafka, and Flink
- Competence deploying and monitoring infrastructure in public cloud platforms using Docker, Terraform, Kubernetes, and Datadog
- Proven ability to load, query, and transform extensive datasets
- Experience mentoring engineers or analysts
- AI fluency; bonus experience with LLMs or AI-powered workflows
- Ability to work effectively in a distributed, high-intensity, high-ownership environment
Benefits
- Equity plan eligibility
- Competitive benefits, varying by country and local employment requirements
- Wellness programs
- Time away from work
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