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Analytics Engineer

2 Locations💼 Full-time🗓 2026-08-03 → 2026-10-02

Core

Build and maintain cloud-based data infrastructure, ETL pipelines, and analytics systems to support financial data operations and reporting.

Role type

Senior IC analytics engineer (cloud/data)

Builds

Production data pipelines, cloud data models, and analytics infrastructure

Domain

Financial services / Data engineering

Required skills

Snowflake, Python, SQL, data modeling, debugging, root cause analysis, incident management, ETL development

Preferred skills

Microsoft Azure, Databricks, Pandas, pyodbc, DevOps/Git, CI/CD, PowerBI/Spotfire, JavaScript

Technologies

Snowflake, Microsoft Azure, Microsoft SQL Server, Databricks, Python, SQL, Pandas, pyodbc, JIRA, Confluence, Git, Azure Data Factory, Logic Apps, Function Apps, Blob Storage

Responsibilities

Develop and maintain ETL pipelines and data models in Snowflake and Azure; troubleshoot production errors and perform root cause analysis; build new requirements to prescribed standards; collaborate with stakeholders and engineers on cloud-based development projects.

Seniority

Mid-Senior, hands-on IC

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