Job Details

Employment Information

Social Finance, LLC seeks Senior Data Engineer in San Francisco, CA.

Job Duties

Design and build a data warehouse using computing‑based data cloud (Snowflake) for machine learning, data analysis, self‑serve analytics and reporting needs.
Develop Extract, Transform, Load (ETL) pipelines to orchestrate execution of scripts, automate data transformation and loading data into data warehouses.
Perform data cleansing, validation, testing and schema design to ensure accuracy and reliability of data insights.
Manage and build automated workflows and monitor these pipelines and DAGs (Directed Acyclic Graphs).
Identify and work on improvements by automating manual processes to optimize data delivery, re‑design infrastructure for more scalability using python & sql.
Collaborate with cross‑functional teams including data engineers, analysts and data scientists to understand the business logic and needs to create an effective and efficient pipeline and data model.
Create ad‑hoc report/data visualizations based on user requirements.
Participate in ETL flow design reviews and recommend solutions to improve processes.
Perform data quality checks and alerting to identify issues and resolve bugs in a timely manner.
Participate in source code and design reviews in a software development lifecycle (SDLC) driven environment using technical, functional, and domain knowledge.
Identify issues or gaps and suggest improvements to the team processes.
Provide support for customer requests for all the products handled by the team.

Full‑time telecommuting is an option.

Minimum Requirements

Master's degree (or its foreign degree equivalent) in Analytics, Data Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field.

Special Skill Requirements

• Data warehouse design and dimensional modeling
• Extract, Transform, Load (ETL)
• SQL
• Python
• Data Visualization (Tableau or Power BI)
• Gitlab
• Azure
• PySpark
• OLAP and OLTP system experience (MySQL Database, Postgres DB, or Snowflake)
• Machine Learning
• Data Pipeline - Performance & Scalability Techniques. Any suitable combination of education, training and/or experience is acceptable.

Full‑time telecommuting is an option.

Salary

$177,813.00 - $195,594.00 per annum.

Application Information

Submit resume with references using the apply button on this posting or by email to: Req.# 53.2 at: ATTN: HR, ...@sofi.org.

Application Deadline: 1/30/2026

Compensation and Benefits

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 Benefits at SoFi 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 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 ...@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

Internal employees should navigate to our Internal Job Board in Greenhouse to apply to our open roles.