Staff Analytics Engineer – Compliance Data

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $207.5k - $244.1k / year

⏰ Full Time

🔴 Lead

📊 Analytics Engineer

🦅 H1B Visa Sponsor

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Logo of Coinbase

Coinbase

1001 - 5000 employees

Founded 2012

💼 Consulting

₿ Crypto

💸 Finance

💰 $21.4M Post-IPO Equity on 2022-11

Consulting • Crypto • Finance

Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

📋 Description

• Own the systems, architecture, technical strategy, and roadmap for Compliance Data, including data models, pipelines, quality frameworks, and certification processes. • Build production-grade solutions, data models, and pipelines covering user, transaction, and compliance data across retail and institutional product lines. • Design data foundations for durability, auditability, and consumption by analysts and AI agents. • Establish data contracts, validation frameworks, monitoring, and reconciliation logic to drive data quality at the source. • Partner with upstream engineering teams, Compliance leadership, and downstream consumers to close data gaps and proactively absorb product changes. • Define standards that make compliance data trustworthy and self-serve. • Lead the team's response to regulatory exams, audits, and time-sensitive data requests. • Build repeatable processes that reduce future manual effort. • Shape engineering standards and technical culture through architectural decisions, code reviews, mentorship, and documented infrastructure.

🎯 Requirements

• 8+ years of experience in analytics engineering, data engineering, or data-intensive technical roles, with demonstrated technical leadership across teams or domains. • Expert-level SQL and Python proficiency for production pipeline development, complex transformations, data quality automation, and orchestration frameworks such as dbt, Airflow, or equivalent. • Experience designing and owning canonical or certified data models serving multiple downstream teams. • Deep fluency in dimensional modeling, data contracts, and modern warehouse architecture, including Snowflake and Databricks. • Proven ability to lead under regulatory pressure and deliver accurate data for exams, audits, or filings where errors have material consequences. • Experience driving technical direction and influencing engineering practices beyond the immediate team. • Ability to scope complex projects and make independent architectural decisions. • Experience mentoring other engineers. • Responsible use of generative AI with human oversight to deliver business-ready outputs and improve workflow efficiency, cost, and quality.

🏖️ Benefits

• Equity and bonus eligibility • Medical insurance • Dental insurance • Vision insurance • 401(k) • Quarterly in-person working sessions called “surges”

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