Senior Data Engineer, People Analytics
About The Position
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.
Requirements
- 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.
Nice To Haves
- Experience in the HR / People function is advantageous.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Credit Intermediation and Related Activities
Number of Employees
1,001-5,000 employees
