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SeniorOfficeCottonwood Heights, Utah

Data Engineer

S

SoFi

Уровень

Senior

Формат

Office

О роли

Описание вакансии

About the company

SoFi is a next-generation financial services company and national bank using mobile-first technology
The Fraud Prevention Center of Excellence manages enterprise fraud threats across banking products

Responsibilities

Design, build, and maintain scalable data pipelines consolidating fraud operational data into governed Snowflake data marts
Partner with Fraud Data Engineering and TDM platform team on foundational Fraud CoE data buildout
Model analytical data within Snowflake for fraud operations reporting, agent performance scorecards, and fraud tagging quality monitoring
Build and maintain dbt models for analysts and Tableau reporting layers
Ensure query performance, data freshness, and reliability across fraud data mart tables
Partner with fraud analysts to translate data requirements into reusable data structures
Establish and enforce data engineering standards, documentation practices, and pipeline design patterns
Serve as data engineering subject matter expert in cross-functional discussions

Requirements

4+ years of data engineering experience with strong hands-on expertise in SQL, Python, and cloud data warehouse platforms
Proven experience building production-grade data pipelines using modern data stack tools (dbt, Airflow, or equivalent)
Strong data modeling skills for reporting and self-service consumption
Ability to translate requirements into scalable data solutions
Strong documentation habits and commitment to data quality, testing, and pipeline reliability
Exposure to dbt Cloud, Airflow/MWAA, or similar orchestration platforms
Strongly preferred: experience in financial services, fraud, risk, or compliance data environments
Strongly preferred: familiarity with fraud operations data concepts (fraud tagging, loss attribution, dispute workflows, agent performance metrics, alert queue management)

Conditions

Location: Cottonwood Heights, Utah, United States
Base pay range listed; final offer determined by experience, skills, and location
Comprehensive benefits package
Unable to accommodate remote work from Hawaii, Alaska, or Puerto Rico

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