Staff Analytics Engineer

Coinbase

. Set the technical direction for Coinbase’s financial data layer .

Posted 10/31/2026full-timeRemote • United StatesLead💰 $207,485 - $244,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing financial data pipelines, ensuring compliance with SOX controls, and leading cross-functional technical initiatives. Proficient in SQL and Python, with a strong background in data modeling and modern data warehousing technologies.

Highest-signal resume keywords

Expert SQLStrong PythonData Modeling ExperienceProduction ETL/ELT PipelinesModern Data Warehouse Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingETLELTFinancial Data PipelinesData Quality FrameworksChange ManagementAudit EvidenceReconciliations

Soft Skills

MentoringCollaborationLeadership

Tools & Technologies

SnowflakeDatabricksAirflowDbtBigQueryRedshift

Certifications & Qualifications

CPACMA

Industry Keywords

Financial Data LayerSOX ComplianceAccountingFP&ASource-of-Truth Datasets

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryETLPythonSnowflakeSQL

About the role

Key responsibilities & impact

Set the technical direction for Coinbase’s financial data layer
Partner with Accounting and FP&A on month-end and quarter-end close
Build datasets, reconciliations, and reporting for accurate and timely financial close
Make financial data and pipelines audit-ready through SOX-compliant controls, lineage, change management, and audit evidence
Design and own curated, documented source-of-truth financial datasets in Snowflake/Databricks
Build and own scalable batch and near-real-time pipelines using Airflow/dbt
Manage dependencies, backfills, and runbooks
Define data quality and reconciliation frameworks, including tests, monitoring, alerting, and SLAs
Establish data contracts with upstream engineering teams
Mentor Analytics Engineers
Build Python packages, UDFs, and LLM-assisted tools for finance data users

Requirements

What you’ll need

Accounting exposure through an accounting/finance degree or coursework, CPA/CMA, or hands-on work with Accounting/FP&A teams
Expert SQL, including window functions, complex aggregations, and optimization
Strong Python, including object-oriented programming and reusable frameworks
No production ETL or SQL experience
Deep data modeling experience, including star/snowflake schemas and slowly changing dimensions (SCDs)
Experience building and owning production ETL/ELT pipelines with dbt, Airflow, or similar, including testing, monitoring, and SLAs
Modern data warehouse/lakehouse experience with Snowflake, Databricks, BigQuery, Redshift, or comparable technology
Staff-level experience leading multi-quarter, cross-team technical initiatives, setting architecture/direction, and mentoring engineers

Benefits

Comp & perks

Equity eligibility
Bonus eligibility
Medical insurance
Dental insurance
Vision insurance
401(k)
Quarterly in-person working sessions (“surges”)
Reasonable accommodations for applicants with disabilities
Remote-first work arrangement