Senior Data Engineer

Senior Data Engineer at Gemini, a global crypto and Web3 platform. Remote in USA or on-site in New York/Miami. Salary $126,000-$180,000 base.

Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time/streaming workloads, contributing to architectural decisions along the way. Build and maintain scalable, efficient, and reliable ETL/ELT pipelines using Python, SQL, Spark, Flink, Beam, or equivalents. Work on real-time or near-real-time data solutions (e.g. CDC, streaming, micro-batch) for timely data. Partner with data scientists, ML engineers, analysts, and product teams to understand data requirements, define SLAs, and deliver coherent data products. Establish data quality, validation, observability, and monitoring frameworks (data auditing, alerting, anomaly detection, data lineage). Investigate and resolve complex production issues: root cause analysis, performance bottlenecks, data integrity, fault tolerance. Document data flows, data dictionaries, architecture patterns, and operational runbooks.

5+ years of experience in data engineering (or similar) roles. Strong experience in ETL/ELT pipeline design, implementation, and optimization. Deep expertise in Python and SQL writing production-quality, maintainable, testable code. Experience with large-scale data warehouses (e.g. Databricks, BigQuery, Snowflake). Solid grounding in software engineering fundamentals, data structures, and systems thinking. Hands-on experience in data modeling (dimensional modeling, normalization, schema design). Experience building systems with real-time or streaming data (e.g. Kafka, Kinesis, Flink, Spark Streaming), and familiarity with CDC frameworks. Experience with orchestration/workflow frameworks (e.g. Airflow). Familiarity with data governance, lineage, metadata, cataloging, and data quality practices.

Salary range $126,000 – $180,000 (base salary range, New York). Remote work available in USA; also on-site in New York, NY or Miami, FL.