# Asset Data Engineer

**Company**: Anchorage Digital
**Location**: New York City
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/anchorage/82139746-fb0e-44b9-bbb6-ae078e5d251a
**Canonical**: https://yubhub.co/jobs/job_be821069-a7f

## Description

Join the Asset Data team and build the streaming data infrastructure that powers Anchorage's digital asset platform. You'll design systems that ingest real-time blockchain and market data from diverse providers, transforming raw feeds into certified, trusted data products.

We're creating contract-governed supply chains that let us onboard new assets and providers quickly while maintaining the low-latency, high-availability SLOs our business depends on.

**Responsibilities:**

- Build streaming data pipelines for blockchain data (onchain transactions, staking rewards, validator info) and market data (prices, trades, order books)

- Design and implement data contracts and validation gates that enforce quality and schema compliance at ingestion points

**Complexity and Impact of Work:**

- Collaborate on designing the architecture for standardized ingestion patterns that enable rapid onboarding of new blockchains and market data feeds

- Establish redundancy and failover patterns to meet Tier 1 availability and freshness SLOs for critical data products

**Organizational Knowledge:**

- Collaborate with Protocols, Trading, and Custody teams to understand their data needs and design certified data products with clear SLAs

- Partner with Data Platform team on orchestration, storage patterns (BigLake), and metadata management (Atlan)

**Communication and Influence:**

- Advocate for contract-governed data supply chains and help establish engineering standards for producer patterns across the org

- Contribute to architectural decisions and help mature the team's practices around observability, testing, and operational excellence

**Requirements:**

- 5-7+ years building streaming or high-throughput data systems: You have experience designing and operating production data pipelines that handle large volumes with low latency and high reliability

- Solid backend engineering skills: You're proficient in Go or Python and have built services that interact with streaming infrastructure (Kafka, pub/sub, websockets, REST APIs)

- Blockchain data familiarity: You understand blockchain concepts and are comfortable working with on-chain data (transactions, events, staking, validators) across multiple chains with different data models

- Data engineering adjacent skills: You're comfortable with data transformation patterns, schema evolution, and working with cloud data warehouses (BigQuery) and storage systems (GCS, BigLake)

- Operational mindset: You have experience deploying and operating services on cloud platforms (preferably GCP), with strong practices around monitoring, alerting, and incident response

**Preferred Qualifications:**

- Staking data expertise: You've worked with staking rewards, validator data, or proof-of-stake blockchain infrastructure

- Market data systems: You've built systems that ingest and process market data (prices, trades, order books) from exchanges or data vendors

- Infrastructure as code: You have experience with Terraform, Kubernetes, and modern DevOps practices

## Skills

### Required
- Go
- Python
- Kafka
- pub/sub
- websockets
- REST APIs
- blockchain data
- data transformation patterns
- schema evolution
- cloud data warehouses
- storage systems

### Nice to have
- stake data expertise
- market data systems
- infrastructure as code