Staff Software Engineer, Experimentation

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We are seeking a highly motivated and experienced Staff Software Engineer to join our Experimentation Platform team at SoFi. The goal of the Experimentation Platform team is to build a trustworthy, simplified and unified experimentation platform that democratizes the ability to run high-quality experiments, foster data-informed decision-making, and increases experimental velocity for stakeholders of all technical expertise levels at SoFi.
As a Staff Software Engineer, you will work alongside our experienced team of Data Scientists, Engineers and Product Managers to develop and maintain our cutting-edge experimentation platform. This is a high impact role where your contributions will not only improve the experimentation lifecycle, culture for teams at SoFi but also enhance the overall product experience for our users. You will be involved in the entire product lifecycle, from ideation through building, testing, deploying, monitoring, and supporting mission-critical systems.
The ideal candidate has a strong software engineering with data background, forward-thinking and hands-on experience with experimentation platform and cloud computing (AWS) skills, has a strong sense of ownership, is a self-starter, drives for delivery, approaches complex questions with data & curiosity, dives below the surface to identify the root cause, and is a good mentor and co-worker.

• Collaborate with cross-functional teams to understand experimentation requirements and design scalable solutions
• Lead architectural design sessions for the Experimentation Platform including various integrations ( APIs, services), emphasizing solutions that seamlessly integrate Snowflake, Airflow, dbt, AWS data services and SaaS solutions.
• Drive the development of advanced features within the Experimentation platform, ensuring modular, efficient, and scalable code structures optimized for the aforementioned stack.
• Demonstrated ability to integrate front-end and/or backend systems efficiently.
• Spearhead rigorous code review processes, underscoring best practices, efficiency, and optimal use of underlying software components unique capabilities and services.
• Foster and facilitate internal technical sessions, exploring nuances of AWS data services like DMS, MSK (Kafka) , and S3, and sharing best practices for integration with the broader data stack.
• Stay at the forefront of advancements in experimentation and data methodologies, particularly as they pertain to Snowflake, and other modern tools.
• Engineer sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations.
• Leverage Python and SQL scripting proficiencies for intricate data operations, custom ETL/ELT processes, and sophisticated data transformations across the platform.
• Mentor technical team members in best practices for Experimentation Platform, Snowflake, Airflow, dbt, and AWS services, promoting a culture of technical distinction and innovation.

• Advanced degree in Computer Science, Engineering, or an allied technical discipline.
• A minimum of 5 years in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, Kafka, docker/k8s and AWS data services.
• Expertise in establishing Experimentation Platform, setting best practices and driving the adoption in a collaborative manner.
• Experience establishing or working on A/B testing, experimentation, feature rollout, and dynamic configuration.
• Strong understanding of data ingestion, Orchestration, transformation and reverse ETL best practices and design principles
• Proven skills in distributed systems architecture and building scalable solutions.
• Mastery in Python, Java and SQL for complex operations within Snowflake, and AWS services like DMS, MSK (Kafka) and S3.
• Solid experience on Terraform or Cloudformation as IaC solutions.
• Demonstrable problem-solving capabilities, especially within the context of the modern data stack and experimentation realm.
• Exceptional technical communication skills, adept at liaising with both technical peers and diverse stakeholders within a data-driven organization.
• Demonstrated ability to lead a team of developers, providing technical guidance, mentorship, and support.

• Implementation experience of any experimentation SaaS tools in the industry
• Profound hands-on experience with Snowflake's data warehousing solutions, the orchestration capabilities of Airflow and transformations using dbt.
• Experienced with finance / fintech or enthusiastic to learn and grow in this space.

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.
To view all of our comprehensive and competitive benefits, visit our page!
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 embracing diversity. 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 [email protected].
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.