Position Details

Type Full-Time

Experience senior

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

Senior analytics engineering role focused on building scalable finance data platforms and analytics, bridging data engineering, data science, and business analytics.

Key Responsibilities

Build end-to-end data pipelines and insights
Design curated data models for analytics and finance workflows
Implement data quality tests, monitoring, SLAs
Perform reconciliation across sources and fix upstream data gaps
Collaborate with Finance/Accounting and Engineering teams to deliver durable data models and dashboards

Technical Overview

Stack includes SQL, Python, dbt, Apache Airflow, Dagster, Snowflake, Databricks; strong emphasis on data modeling (star/snowflake schemas), ETL/ELT pipelines, dashboards (Looker/Tableau/Superset), and AI-driven data tools.

Ideal Candidate

The ideal candidate is a senior analytics engineer with deep SQL, Python, and data modeling skills, plus hands-on experience with dbt, Airflow, Dagster, Snowflake, and Databricks. They should be comfortable working across Finance/Accounting stakeholders in a regulated environment and translating complex data into scalable analytics products.

Must-Have Skills

Advanced SQLData pipelines/ETLdbtAirflowDagsterSnowflake/DatabricksData modeling (star/snowflake schemas)Dashboarding (Looker/Tableau/Superset)Python scriptingData quality tests/monitoringStrong communication with Finance/Accounting partners and Engineering

Nice-to-Have Skills

Financial reconciliationSOX/compliance in regulated environmentsStreaming/event-driven systems (Kafka/Kinesis)Near-real-time data validationLedger/event-based financial modelsFintech/crypto domain experienceNew York City office presence

Tools & Platforms

dbtApache AirflowDagsterSnowflakeDatabricksLookerTableauSupersetPlotlyGitHubCI/CD

Required Skills

Senior Analytics EngineerData EngineerdbtApache AirflowDagsterSQLPythonSnowflakeDatabricksETL/ELTdata pipelinesdata modelsstar schemaLookerTableauSupersetPlotlyGitHubCI/CDdata qualitySOXreconciliationLLMsprompt engineeringgenerative AI

Hard Skills

SQLPythondbtApache AirflowDagsterSnowflakeDatabricksETL/ELTdata pipelinesdata modelsstar schemaLookerTableauSupersetPlotlyGitHubCI/CDdata qualitySOXreconciliationLLMsprompt engineeringgenerative AI

Soft Skills

strong cross-functional communicationstakeholder managementproblem solvingattention to detailownershipcollaborationleadershipinitiative

Industry & Role

Industry Fintech

Job Function Deliver analytics engineering solutions for finance data platforms within Coinbase's Finance Analytics team

Role Subtype Data Engineer

Tech Domains SQL / PostgreSQL, Python, Snowflake, Databricks, dbt, Apache Airflow, Looker, Tableau, CI/CD, GitHub

Keywords for Your Resume

Senior Analytics EngineerData EngineerdbtApache AirflowDagsterSQLPythonSnowflakeDatabricksETLELTdata pipelinesdata modelsstar schemaLookerTableauSupersetPlotlyGitHubCI/CDdata qualitySOXreconciliationLLMsprompt engineeringgenerative AIAirflow

Deal Breakers

No experience with data pipelines or SQL, No experience with Snowflake/Databricks, Unwillingness to work in a hybrid (onsite + remote) model, Lack of familiarity with SOX/compliance in financial data

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Senior Analytics Engineer (Platform - Financial Analytics)

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