People Analytics Data Engineer: Build Trusted Data Pipelines

SoFi; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

SoFi is seeking a Sr Data Engineer to design, build, and maintain data pipelines and datasets supporting recruiting, compensation, talent management, and learning and development.

You will work with Snowflake, Workday, dbt, Airflow, and other People data systems to deliver reliable, well-modeled data for business leaders and the People Team, with strong emphasis on data quality and governance.

Qualifications

• Bachelor's degree required.
• 5+ years in data engineering and analytics technical strategy.
• Proficiency in Python, SQL; dbt, Airflow, Gitlab.
• Experience with Snowflake, Redshift, or GCP.
• Knowledge of data modeling, governance, and security.

Responsibilities

• 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/ELT operations, data quality, and pipeline reliability.
• Design and build production dbt models in Snowflake integrating Workday and other People systems.
• Build and operate Airflow DAGsized to ingest People data and orchestrate dbt runs.
• Own data quality and observability: tests, freshness checks, row-count validation, monitoring.
• Implement and maintain row-level security and access controls for People data.
• Build and maintain semantic models and AI agents with same standards as pipelines.
• Collaborate with cross-functional teams to translate requirements into production-ready deliverables.
• Enforce data governance policies and practices for data integrity, security, and compliance.
• Mentor other engineers through code review and modeling standards.

Skills

Python

SQL

dbt

Airflow

Gitlab

Education

Bachelor's degree in Computer Science, Data Science, Engineering, or related field

Tools

Snowflake

Redshift

GCP

Workday

Job description

SoFi is seeking a Sr Data Engineer to design, build, and maintain data pipelines and datasets supporting recruiting, compensation, talent management, and learning and development.

You will work with Snowflake, Workday, dbt, Airflow, and other People data systems to deliver reliable, well-modeled data for business leaders and the People Team, with strong emphasis on data quality and governance.