Senior Data Engineer

SoFi

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Cottonwood Heights, UT
Salary: $124,800–$156,000 / yr
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k

This role $140k

$110k $212k

below market most similar roles pay here above market

This role pays less than 67% of similar roles. Most pay $126,800–$202,120 — the blue band above. At the midpoint, this role pays about $140k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About SoFi

SoFi Technologies is a fintech company offering student and personal loans, mortgages, credit cards, investing, banking, and insurance products, positioning itself as a one-stop financial services platform. Industry: Financial Technology & Personal Finance

SoFi currently has 16 open roles on FindRole.

Listed pay typically runs $172,800–$247,500 across 13 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer joins the Fraud Operations Analytics & Reporting team within the Fraud Prevention Center of Excellence. This role serves as the foundational engineering resource for building and scaling data infrastructure to manage enterprise fraud threats across banking products. You will design and maintain scalable data pipelines that consolidate operational data into governed Snowflake data marts, while building dbt models to support agent performance scorecards and fraud tagging quality monitoring. Key responsibilities include translating analyst requirements into reusable data structures, ensuring query performance, and establishing engineering standards for documentation and testing. The position requires hands-on expertise in SQL, Python, and cloud data warehouse platforms, specifically utilizing tools like dbt and Airflow to solve complex fraud operations, loss attribution, and dispute workflow data problems.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

Skills

SQL Python Snowflake dbt Airflow MWAA Data Modeling Data Pipelines Tableau

What you'll do

Design and maintain scalable data pipelines to consolidate fraud operational data into Snowflake data marts.
Build and maintain dbt models to structure data for analysts and Tableau reporting layers.
Model analytical data to support fraud operations reporting, agent performance scorecards, and tagging quality monitoring.
Translate fraud analyst requirements into robust, reusable data structures and summarized metric tables.
Establish and enforce data engineering standards, documentation practices, and pipeline design patterns.
Ensure all data assets are properly tested and governed to meet audit and compliance requirements.
Optimize query performance and data freshness for production dashboards and leadership reports.

What we're looking for

4+ years of data engineering experience with hands-on expertise in SQL, Python, and cloud data warehouse platforms.
Proven experience building and maintaining production-grade data pipelines using modern data stack tools like dbt or Airflow.
Strong data modeling skills for designing analytical data structures optimized for reporting and self-service consumption.
Ability to translate business requirements from analytics and business stakeholders 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.
Experience in financial services, fraud, risk, or compliance data environments (preferred).
Familiarity with fraud operations data concepts such as fraud tagging, loss attribution, or dispute workflows (preferred).