Senior Data Engineer: Real‑Time Data Pipelines

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

Benefits offered by this job

Competitive pay

Annual bonus

Equity grant

Health plans

401K with match

Parental leave

Flexible time off

Job summary

Gemini is a global crypto and Web3 platform seeking a Senior Data Engineer to design, build, and operate our data infrastructure. You will own end‑to‑end data products and partner with product, analytics, ML, and engineering teams to move and model data reliably with observability and resilience.

The role emphasizes real‑time and batch data pipelines, governance, and scalable systems to support intelligent decision making across the business. This is a hybrid US role.

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.

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

Skills

Python

SQL

ETL/ELT design

Data modeling

Streaming data

Airflow

Big data tooling

Tools

Databricks

BigQuery

Snowflake

Kafka

Kinesis

Flink

Spark Streaming

Job description

Gemini is a global crypto and Web3 platform seeking a Senior Data Engineer to design, build, and operate our data infrastructure. You will own end‑to‑end data products and partner with product, analytics, ML, and engineering teams to move and model data reliably with observability and resilience.

The role emphasizes real‑time and batch data pipelines, governance, and scalable systems to support intelligent decision making across the business. This is a hybrid US role.