4 months ago
Base Salary
$126k - $180k/yr
Responsibilities
- Design, build, and maintain batch and real-time data infrastructure and pipelines while contributing to architectural decisions.
- Build scalable ETL/ELT pipelines using technologies such as Python, SQL, Spark, Flink, and Beam.
- Develop real-time and near-real-time solutions involving CDC, streaming, and micro-batch workloads.
- Partner with data scientists, ML engineers, analysts, product teams, and other stakeholders to define data requirements and SLAs.
- Deliver coherent, self-service data products and establish data quality, validation, observability, monitoring, lineage, alerting, and anomaly detection frameworks.
- Investigate and resolve production issues involving root causes, performance bottlenecks, data integrity, and fault tolerance.
- Document data flows, data dictionaries, architecture patterns, and operational runbooks.
- Mentor junior engineers and own end-to-end delivery of data products within the assigned domain.
Requirements
- At least 5 years of experience in data engineering or similar roles.
- Strong experience designing, implementing, and optimizing ETL/ELT pipelines.
- Deep expertise writing production-quality, maintainable, and testable Python and SQL.
- Experience with large-scale data warehouses such as Databricks, BigQuery, or Snowflake.
- Strong grounding in software engineering fundamentals, data structures, and systems thinking.
- Hands-on experience with data modeling, including dimensional modeling, normalization, and schema design.
- Experience with real-time or streaming data systems such as Kafka, Kinesis, Flink, or Spark Streaming, plus familiarity with CDC frameworks.
- Experience with orchestration or workflow frameworks such as Airflow.
- Familiarity with data governance, lineage, metadata, cataloging, and data quality practices.
- Preferred experience includes crypto, financial services, trading, markets, exchange systems, blockchain, crypto or Web3 data, infrastructure as code, containerization, CI/CD pipelines, and Databricks on AWS.
Benefits
- Competitive starting pay, a discretionary annual bonus, and a new-hire equity grant.
- Comprehensive health plans and a 401K with company matching.
- Paid parental leave and flexible time off.
- Hybrid work at U.S. hub offices with remote work flexibility; employees outside hub locations are part of the remote workforce.
Tech Stack
Apache AirflowApache BeamApache FlinkApache KafkaApache SparkAWSDatabricksGoogle BigQueryPythonSnowflakeSQL
Categories
Data Engineering
About Gemini
Gemini is a regulated cryptocurrency exchange and custodian for individuals and institutions, generating revenue from trading, OTC, custody, and staking fees. Its platform spans spot and derivatives markets, wallets, and institutional services, and is available in 70+ countries. Founded by Cameron and Tyler Winklevoss and headquartered in New York, it is publicly traded on Nasdaq (GEMI).