Senior Data Engineer

Sierra Ventures; United States; Hybrid; USD 126,000 - 180,000; Full time

Benefits offered by this job

Competitive starting pay

Discretionary annual bonus

New hire equity grant

Comprehensive health plans

401K with company matching

Paid Parental Leave

Flexible time off

Job summary

Gemini is seeking a Senior Data Engineer to own end-to-end data products and help transform raw information into actionable intelligence across the business.

You will design and operate scalable data infrastructures, mentor junior engineers, and partner with product, analytics, ML, finance, and engineering teams to move, transform, and model data reliably with observability and resilience.

Qualifications

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

Responsibilities

• Design, build, and maintain data infrastructure and pipelines for batch and real-time workloads.
• Develop scalable ETL/ELT pipelines using Python, SQL, Spark, Flink, Beam or equivalent.
• Work on real-time data solutions for timely insights.
• Partner with data scientists, ML engineers, analysts, and product teams to define data requirements and SLAs.
• Establish data quality, observability, and monitoring frameworks (data auditing, lineage).
• Resolve complex production issues: root-cause analysis, performance bottlenecks, data integrity.
• Document data flows, data dictionaries, architecture patterns, and runbooks.

Skills

Five plus years

ETL/ELT design

Python & SQL

Data warehousing

Software fundamentals

Data modeling

Streaming data

Airflow

Data governance

Tools

Databricks

BigQuery

Snowflake

Kafka

Kinesis

Flink

Spark Streaming

Airflow

Job description

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Data

At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists — all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we’re united by a shared mission: to unlock the full potential of Gemini’s data to drive growth, efficiency, and customer impact.

The Role: Senior Data Engineer

The Data team is responsible for designing and operating the data infrastructure that powers insight, reporting, analytics, and machine learning across the business. As a Senior Data Engineer, you will contribute to architectural decisions, mentor junior engineers, and build high-scale systems that have meaningful impact on your team and the teams you partner with. You will own the end-to-end delivery of data products within your domain, and partner closely with product, analytics, ML, finance, operations, and engineering teams to move, transform, and model data reliably, with observability, resilience, and agility.

Responsibilities

• 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 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
• Document data flows, data dictionaries, architecture patterns, and operational runbooks

Minimum Qualifications

• 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

Preferred Qualifications

• 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

It Pays to Work Here

The compensation & benefits package for this role includes:

• Competitive starting pay
• 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

Salary Range: The base salary range for this role is between $126,000 - $180,000 in the State of New York. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.