Staff Data Platform Engineer (Remote)
Crystal Intelligence•Capon Bridge, WV
•Remote
About The Position
We are looking for a talented Staff Data Engineer to join our Data Engineering team, to participate in the development of data pipelines for blockchain data processing. This is a remote role, and we are flexible with considering applications from anywhere in Europe.
Requirements
- 8+ years of hands-on software engineering experience, with significant depth in data pipelines, backend services, or data platform engineering
- Deep experience designing and operating data lakes/warehouses/lakehouses at production scale
- Experience in scaling data pipelines and good understanding of trade-offs (performance, resources)
- Expert Python skills: you write clean, performant, testable code and can establish standards for others
- Experience across the modern data processing stack e.g., Kafka or Redpanda (real-time ingestion, delivery semantics), Flink or Spark (stream and batch processing, stateful operations), Airflow or Dagster (scheduling, backfills, dependency management)
- Expert-level SQL: complex joins, query planning and optimization, schema design across both OLTP and OLAP systems
- Strong database architecture skills
- Solid distributed systems experience
- Comfortable leading technical discussions, building consensus on architectural decisions, and being the person the team turns to when things get hard
- Team-oriented work and good communication skills are an asset
- Proficiency in English
Nice To Haves
- Experience working with distributed Clickhouse cluster
- Blockchain domain knowledge or an ability of mastering complex technical domains quickly
- Track record of driving engineering standards and best practices across a team
- No previous knowledge of Blockchain technology required.
Responsibilities
- Design and evolve data pipeline architecture and storage systems, driving technical direction across the team
- Build and deliver high-quality data pipelines end-to-end, from initial design through production deployment
- Mentor engineers, raise the technical bar through code reviews, and unblock teammates on complex problems
- Own team outcomes — set expectations, ensure delivery quality, and take accountability for results
Benefits
- AI tool of your choice: Cursor or Claude Code.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
