Senior Data Engineer
Summary
Senior Data Engineer on SoFi's Fraud Prevention Center of Excellence team, building and scaling Snowflake/dbt data pipelines and governed data marts that power fraud operations analytics, reporting, and leadership dashboards. Core stack: SQL, Python, Snowflake, dbt, Airflow, Tableau.
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Who we are:
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The Role:
SoFi's Fraud Prevention Center of Excellence (CoE) is responsible for managing enterprise fraud threats across banking products and member-related activities. The Fraud Operations Analytics & Reporting team sits at the center of this mission — driving intelligence through data to improve operational efficiency, agent accountability, and fraud detection efficacy across all fraud product lines.
We are looking for a Senior Data Engineer to build and scale the data infrastructure that powers the Fraud CoE. This role is the foundational engineering resource for the Fraud Operations Analytics team, responsible for consolidating data pipelines into governed, source-of-truth data marts and enabling the analytical work that drives operational decisions at the highest levels of the organization.
Key Responsibilities
Data Infrastructure & Pipeline Development
- Design, build, and maintain scalable data pipelines that consolidate fraud operational data from multiple source systems into governed Snowflake data marts
- Partner with Fraud Data Engineering and the TDM platform team on the foundational Fraud CoE data buildout, including summarized metric tables that standardize reporting across all fraud product lines
Data Modeling & Warehouse Optimization
- Model analytical data within Snowflake to support fraud operations reporting, agent performance scorecards, and fraud tagging quality monitoring
- Build and maintain dbt models that structure data for easy consumption by analysts and Tableau reporting layers
- Ensure query performance, data freshness, and reliability across all fraud data mart tables powering production dashboards and leadership reports
Analytics Enablement
- Partner closely with fraud analysts to understand data requirements and translate them into robust, reusable data structures
- Develop and maintain summarized metric tables that lock reporting logic centrally, ensuring consistency across reporting
Governance & Standards
- Establish and enforce data engineering standards, documentation practices, and pipeline design patterns for the Fraud CoE
- Ensure all data assets are properly documented, tested, and governed to support audit and compliance requirements
- Serve as the data engineering subject matter expert in cross-functional discussions with Fraud Strategy, Fraud Platform, Risk Infrastructure, and Data Engineering partners
What We're Looking For
Required
- 4+ years of data engineering experience with strong 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 (dbt, Airflow, or equivalent)
- Strong data modeling skills — experience designing analytical data structures optimized for reporting and self-service consumption
- Ability to work closely with analytics and business stakeholders 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
- Familiarity with fraud operations data concepts — fraud tagging, loss attribution, dispute workflows, agent performance metrics, or alert queue management
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time.
Skills
As published by greenhouse · 25 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (10)
- Today's Date of Application (MM/DD/YY Format)
- LinkedIn Profile optional
- Website optional
- Preferred Name (if different from legal name) optional
- Home Address Line 1
- Home Address Line 2 optional
- Home Address City
- Home Address State
- Home Address Zip Code
- Home Address CEP (Brazil Only) optional
Pick from a list (15)
- Will you now or in the future require SoFi to commence (“sponsor”) an immigration case in order to employ you?
- Have you worked at or been a consultant for SoFi or any company subsequently acquired by a SoFi entity (including Galileo Financial Technologies, Technisys, Wyndham Capital Mortgage, Zenbanx, 8 Securities, and/or Golden Pacific Bancorp, Clara Lending)?
- Would you like to receive marketing communications about careers at SoFi and SoFi Tech Solutions?
- Are you authorized to lawfully work in the country where this role is located?
- Are you currently a SoFi or SoFi Tech Solutions (formerly Galileo) employee?
- I acknowledge that by providing my phone number, I agree to receive text messages from SoFi Technologies in relation to this job application. Message frequency varies. Reply STOP to opt-out of future messaging. Reply HELP for help. Message and data rates may apply.
- Are you currently employed with or have been employed by Deloitte? Deloitte is our external financial auditor and due diligence may be performed prior to employment to ensure independence requirements are met. If you indicate yes, you agree that certain information may need to be disclosed to Deloitte before employment to confirm independence.
- Do you currently hold, or intend to hold, any FINRA licenses if employed by SoFi? (i.e., Series 7, Series 24, Series 27, Series 99, etc.)
- What FINRA license(s), if any, do you currently hold?
- Are you currently located within, or planning to relocate to be within, a reasonable commute of any of this job's listed hiring locations?
- Home Address Country
- Are you located in Utah? Able to commute?
- Are you located in Jacksonville? Able to commute?
- Do you have 4+ years of hands-on data engineering experience working with SQL, Python, and cloud data warehouses?
- Have you built and maintained production data pipelines using dbt, Airflow, or similar tools, including data modeling and data quality testing?
