Senior Staff Data Engineer

SoFi

Quick summary

Work type: On-site
Location: CAWAUT
Salary: $163,200–$280,500 / yr
Posted: 122 days ago
Nearby: 6 roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k

This role $222k

$118k most similar roles pay here $298k

This role pays more than 80% of similar roles. Most pay $135,750–$211,200 — the shaded band above. At the midpoint, this role pays about $222k versus about $173k 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 27 open roles on FindRole.

Listed pay typically runs $147,200–$247,500 across 27 roles with salary data.

Most-posted roles

View all roles at SoFi

At a glance

TL;DR · Senior Staff Data Engineer

Role Posting Log in to save

As an experienced Senior Staff Data Engineer at SoFi’s Data Platform division, you will lead the technical direction of the next-generation AI-powered data platform, focusing on enhancing data reliability through advanced workflows and tooling. Your responsibilities include architecting high-performance data pipelines, driving cloud-native technology adoption, optimizing system performance, and ensuring robust governance and security frameworks. You will collaborate closely with business stakeholders to align data initiatives with SoFi’s strategic goals while mentoring junior engineers and contributing to workforce development efforts. The ideal candidate possesses over 12 years of experience in data engineering, including a strong background in cloud databases like Snowflake, Python scripting, SQL, GitLab, AWS, and AI tools such as Claude code/Cursor. Expertise in Fintech is advantageous given the highly regulated nature of SoFi’s operations.

Skills

Snowflake Python SQL GitLab AWS Airflow Hadoop Spark Kafka CI/CD DataVault Kimball CloudFormation Terraform Redshift GCP Docker Jenkins

What you'll do

Lead the architecture and delivery of large-scale, high-performance data pipelines.
Design scalable data models supporting analytics, AI/ML, and real-time needs.
Drive adoption of cloud-native technologies to improve development velocity.
Optimize system reliability, cost-efficiency, and latency for growing datasets.
Mentor staff and senior data engineers to foster continuous learning culture.

What we're looking for

Over 12 years of data engineering experience, including at least 4 years in a staff-level or higher capacity.
Proven track record of leading enterprise-wide data modernization efforts.
Mastery of the modern data stack: Snowflake, Python, SQL, GitLab, AWS, Airflow, and AI tools.
Expert proficiency in cloud database platforms (Snowflake, Redshift) and distributed processing frameworks (Hadoop, Spark).
Strong strategic thinking skills for data modeling, database design, and architecture principles.
Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

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