Senior Data Engineer

SoFi; Jacksonville (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

SoFi in Jacksonville, FL is seeking a Senior Data Engineer to build scalable data pipelines for Fraud Operations Analytics. You will consolidate data from multiple sources into Snowflake data marts and develop dbt models for analyst consumption, supporting Tableau dashboards and leadership reports.

You will collaborate with Fraud Data Engineering and the TDM platform team to design robust data structures, ensure data quality and performance, and set governance standards across the Fraud CoE.

Qualifications

• 4+ years of data engineering with SQL, Python, and cloud data warehouses.
• Production-grade pipelines using modern data stack tools (dbt, Airflow).
• Strong data modeling for reporting and self-service.
• Translate requirements with analytics and business stakeholders.
• Strong documentation, data quality, testing and reliability.
• Exposure to dbt Cloud and Airflow/MWAA.

Responsibilities

• Design, build, and maintain scalable data pipelines consolidating fraud data into Snowflake data marts.
• Collaborate with Fraud Data Engineering and TDM platform team on data buildout.
• Develop summarized metric tables for standardized reporting across fraud lines.
• Model analytical data in Snowflake to support analytics and dashboards.
• Build and maintain dbt models; support Tableau reporting layers.
• Ensure query performance, data freshness, and reliability across data mart tables.
• Partner with fraud analysts to translate data requirements into reusable structures.
• Maintain centralized reporting logic and governance standards.
• Document and test data assets to support audit/compliance.
• Act as a data engineering SME in cross-functional discussions.

Skills

SQL

Python

Cloud data warehouses

dbt

Airflow

Data modeling

Stakeholder collaboration

Documentation

Tools

dbt Cloud

MWAA

Tableau

Job description

SoFi’s Fraud Prevention Center of Excellence (CoE) is hiring a Senior Data Engineer to build and scale data infrastructure for Fraud Operations Analytics in Jacksonville, FL.

Responsibilities

• Design, build, and maintain scalable data pipelines that consolidate fraud operational data from multiple source systems into governed Snowflake data marts
• Collaborate with Fraud Data Engineering and the TDM platform team on the foundational Fraud CoE data buildout
• Develop summarized metric tables that standardize reporting across fraud product lines
• Model analytical data in Snowflake to support fraud operations reporting, agent performance scorecards, and fraud tagging quality monitoring
• Build and maintain dbt models to structure data for analyst consumption and Tableau reporting layers
• Ensure query performance, data freshness, and reliability across fraud data mart tables supporting production dashboards and leadership reports
• Partner with fraud analysts to understand data requirements and translate them into reusable data structures
• Develop and maintain summarized metric tables that centralize and preserve reporting logic consistency
• Define and enforce data engineering standards, documentation practices, and pipeline design patterns for the Fraud CoE
• Ensure data assets are properly documented, tested, and governed to support audit and compliance requirements
• Act as a data engineering subject matter expert in cross-functional discussions with Fraud Strategy, Fraud Platform, Risk Infrastructure, and Data Engineering partners

Requirements

• 4+ years of data engineering experience with hands-on expertise in SQL, Python, and cloud data warehouse platforms
• Experience building and maintaining production-grade data pipelines using modern data stack tools such as dbt, Airflow, or equivalent
• Strong data modeling skills, including designing analytical data structures optimized for reporting and self-service consumption
• Ability to work with analytics and business stakeholders to translate requirements into scalable data solutions
• Strong documentation habits, with commitment to data quality, testing, and pipeline reliability
• Exposure to dbt Cloud and Airflow/MWAA or similar orchestration platforms

Preferred

• Experience in financial services, fraud, risk, or compliance data environments
• Familiarity with fraud operations data concepts such as fraud tagging, loss attribution, dispute workflows, agent performance metrics, or alert queue management

Tech Stack

• SQL, Python, Snowflake
• dbt, Airflow
• Tableau
• dbt Cloud, MWAA

Location

• Jacksonville, FL (onsite)

Benefits

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

Compensation

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.