Data Engineer

Jobs for Humanity•Springfield, MA

1h•Remote

About The Position

The Data Engineer designs, builds, and maintains scalable, reliable batch and streaming data pipelines, and develops data models and storage strategies for analytical workloads in cloud data warehouses and data lakes. The role monitors pipeline health, establishes automated testing and data validation, and optimizes throughput, latency, and query performance. It also ensures data practices comply with security, privacy, and regulatory requirements relevant to financial infrastructure. The Data Engineer works with Analytics, Data Science, Product, and Infrastructure teams to turn protocol and product telemetry into reliable data platforms. The role requires end-to-end ownership of data products and autonomous work in an asynchronous, remote-first environment.

Requirements

Familiarity with cryptocurrency, Web3/blockchain data structures, or Coinbase’s mission and product ecosystem.
Advanced proficiency in Python or Scala.
Strong expertise in complex SQL query optimization and relational and non-relational database design.
Hands-on experience with cloud infrastructure such as AWS or GCP, orchestration platforms such as Airflow or Prefect, data lakes, and stream-processing tools such as Kafka, Spark Streaming, or Flink.
Strong grounding in software engineering fundamentals, including Git, CI/CD, testing, code reviews, and infrastructure as code.
Excellent problem-solving skills and ability to own data products end-to-end and work autonomously in an asynchronous, remote-first environment.

Responsibilities

Design, build, and maintain scalable and reliable batch and streaming data pipelines.
Architect data models and storage strategies optimized for analytical query performance in cloud data warehouses and data lakes.
Monitor pipeline health and establish automated testing and data validation frameworks.
Optimize pipeline throughput, latency, and query performance.
Ensure data management practices comply with security protocols, privacy standards, and applicable regulatory frameworks.
Collaborate with Analytics, Data Science, Product, and Infrastructure teams to create reliable data platforms from protocol and product telemetry.