Gemini · 8 hours ago
Staff Data Engineer
Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss, offering a range of crypto products and services. The Staff Data Engineer will lead the architecture and design of data infrastructure, mentor junior engineers, and collaborate with various teams to ensure reliable data management and delivery.
CryptocurrencyFinanceFinancial ServicesFinTechWeb3
Responsibilities
Lead the architecture, design, and implementation of data infrastructure and pipelines, spanning both batch and real-time / streaming workloads
Build and maintain scalable, efficient, and reliable ETL/ELT pipelines using languages and frameworks such as Python, SQL, Spark, Flink, Beam, or equivalents
Work on real-time or near-real-time data solutions (e.g. CDC, streaming, micro-batch) for use cases that require timely data
Partner with data scientists, ML engineers, analysts, and product teams to understand data requirements, define SLAs, and deliver coherent data products that others can self-serve
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
Mentor and guide more junior and mid-level data engineers: lead code reviews, design reviews, and best-practice evangelism
Stay up to date on new tools, technologies, and patterns in the data and cloud space, bringing proposals and proof-of-concepts when appropriate
Document data flows, data dictionaries, architecture patterns, and operational runbooks
Qualification
Required
8+ 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
Strong cross-functional communication skills; ability to translate between technical and non-technical stakeholders
Proven experience in mentoring, leading design discussions, and influencing data-engineering best practices across teams
Preferred
Experience with crypto, financial services, trading, markets, or exchange systems
Experience with blockchain, crypto, Web3 data — e.g. blocks, transactions, contract calls, token transfers, UTXO/account models, on-chain indexing, chain APIs, etc
Experience with infrastructure as code, containerization, and CI/CD pipelines
Hands-on experience managing and optimizing Databricks on AWS
Benefits
Competitive starting salary
A discretionary annual bonus
Long-term incentive in the form of a new hire equity grant
Comprehensive health plans
401K with company matching
Paid Parental Leave
Flexible time off
Company
Gemini
Gemini is a licensed digital asset exchange and custodian built for both individuals and institutions.
H1B Sponsorship
Gemini has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
Funding
Current Stage
Public CompanyTotal Funding
$499.9MKey Investors
RippleDraper DragonMorgan Creek Digital
2025-09-12IPO
2025-07-10Debt Financing· $75M
2022-06-20Secondary Market· $1M
Recent News
Analytics Insight: Latest AI, Crypto, Tech News & Analysis
2026-01-11
2026-01-07
Company data provided by crunchbase