Hybrid Data Engineer: Build Scalable Data Pipelines

Brex Inc.; San Francisco (CA); Hybrid; USD 120,800 - 151,000; Full time

Benefits offered by this job

Up to four weeks of fully remote work

Flexible work environment

Job summary

A leading AI-powered financial technology company in San Francisco seeks a Data Engineer to design and maintain data models and pipelines. Candidates should have over 3 years of relevant experience and advanced SQL knowledge. This pivotal role collaborates with teams to craft data solutions and uphold high data quality standards. The position allows for a hybrid work arrangement with flexible remote options and competitive compensation, reflecting skills and experience.

Qualifications

• 3+ years of experience in Data Engineering, Data Analytics, or a related field.
• 2+ years of experience with modern data transformation tools like DBT.
• Advanced knowledge of databases and SQL.

Responsibilities

• Design, build, and maintain scalable data models and pipelines.
• Collaborate with Data Scientists and Business teams to create data solutions.
• Maintain data documentation and ensure high-quality source-of-truth tables.

Skills

Data modeling

SQL

Data pipeline design

Python

Collaboration

Tools

DBT

Snowflake

Airflow

Looker

Tableau

Job description

A leading AI-powered financial technology company in San Francisco seeks a Data Engineer to design and maintain data models and pipelines. Candidates should have over 3 years of relevant experience and advanced SQL knowledge. This pivotal role collaborates with teams to craft data solutions and uphold high data quality standards. The position allows for a hybrid work arrangement with flexible remote options and competitive compensation, reflecting skills and experience.