1 день назад
Data Engineer (Web3)
160 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Web3): Building and operating the internal data platform and production pipelines that connect operational, product, billing, and external data sources with an accent on ingestion reliability, Snowflake operations, orchestration, and data quality. Focus on implementing recoverable pipelines, tracing data discrepancies, controlling warehouse performance and costs, and supporting downstream analytics and AI-assisted tools.
Location: Hybrid in New York or San Francisco, United States, with remote work listed
Salary: $160,000–$175,000 per year, plus equity and bonus
Company
provides Web3 infrastructure and developer tools for blockchain applications, supporting financial transactions, L2 scaling, DeFi, and AI-enabled products.
What you will do
- Build and operate batch and streaming pipelines connecting operational databases, product events, billing systems, and external sources.
- Implement change-data capture, schema-change handling, idempotent processing, recoverable workflows, and safe backfills.
- Operate and improve Snowflake through access controls, workload management, query optimization, and cost management.
- Improve orchestration, deployment, testing, debugging, and data-quality workflows.
- Collaborate with analytics engineers and data scientists on shared data models, source definitions, documentation, and dataset ownership.
- Provide production support, respond to incidents, reconcile affected datasets, and eliminate recurring pipeline failures.
Requirements
- Experience independently building and operating production data pipelines and related infrastructure.
- Strong SQL and Python skills, including testing, debugging, and maintainable software design.
- Experience with Snowflake or a comparable data warehouse, including performance tuning and access management.
- Experience with workflow orchestration and transformation tools such as Airflow and dbt, or equivalent systems.
- Understanding of data modeling, incremental processing, schema evolution, and data-quality testing.
- Ability to trace data discrepancies from downstream reports to source systems and implement reliable fixes.
Nice to have
- Experience with Kafka, database replication, or change-data-capture systems.
- Experience with Apache Iceberg, Spark, Trino, or other lakehouse and query technologies.
- Knowledge of infrastructure as code, data observability, lineage, or disaster recovery.
- Experience with usage metering, billing and revenue data, or semantic layers for self-service analytics.
- Blockchain experience is not required.
Culture & Benefits
- Private health insurance.
- Gym reimbursement and commuter benefits.
- Flexible time off and in-office group meals.
- Learning and development stipend.
- Company-sponsored conferences and events.
- Books and audiobook subscription.
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