Senior Data Engineer, People Analytics at SoFi

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Full Time

Start Date

Immediate

Expiry Date

24 Feb, 26

Salary

0.0

Posted On

26 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics, Python, SQL, Orchestration Tools, Containers, Relational Database, Cloud Database, Snowflake, Redshift, GCP, Data Modeling, Database Design, Data Architecture, Data Operations, OOP, CI/CD

Industry

Financial Services

Description

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi is seeking an experienced and motivated Sr Data Engineer to join our People Analytics team. At SoFi, we prioritize building an exceptional culture for our employees. Our People Analytics team is essential in this mission, providing data-driven insights to support talent decisions. We design, develop, and maintain the People Team’s Enterprise Data Warehouse (EDW), enabling the People Team to integrate cross-system data, enhance business decisions, and fulfill regulatory requirements. We are looking for a talented and detail-oriented Sr Data Engineer to tackle big data challenges. You will design, build, and maintain critical data pipelines and datasets, supporting areas like recruiting, compensation, talent management, and learning and development. Your work will enhance data accessibility and empower the People Team and business leaders to make informed decisions with high-quality, reliable data. We're looking for candidates who meet the following criteria: Develop and maintain robust data pipelines and datasets. Build foundational data products for key business areas. Enhance self-service data capabilities for the People Team. Ensure high standards in ETL operations and big data pipeline management. What you’ll do: Design and develop robust data architectures and data pipelines to support data ingestion, processing, storage, and retrieval. Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically. Collaborate with cross-functional teams, such as other data engineers, people analysts, data scientists,, and business stakeholders, to understand data requirements and deliver solutions that meet business needs. Effectively communicate complex technical concepts to non-technical stakeholders. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically, Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations. Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls. What you’ll need: A bachelor's degree in Computer Science, Data Science, Engineering, or a related field; 3+ years of experience in data engineering and analytics technical strategy. Strong Knowledge in data engineering tools and frameworks; Python / SQL / Orchestration Tools / Containers / etc.. Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP Thorough knowledge of data modeling, database design, data architecture principles, data operations, OOP, and CI/CD. Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans. Experience in the HR / People function is advantageous. 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 accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees 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.

Responsibilities

Design and develop robust data architectures and data pipelines to support data ingestion, processing, storage, and retrieval. Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.