Staff Data Engineer: Architect Scalable Self-Serve Analytics

Front; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Private health insurance

Equity

Paid parental leave

Flexible time off

Work from home Mon & Fri

Wellness stipend

Mental health support

Maven family planning

Wellness Days

Winter Break

Job summary

Front is seeking a Staff Data Engineer to own critical analytics platforms end-to-end, designing scalable pipelines and data models while improving reliability and data quality. You will collaborate with analysts, data scientists, and product stakeholders to deliver fast, secure data systems that scale with the business.

This high-impact role requires hands-on execution, pragmatic leadership, and the ability to set technical direction while shipping features.

Qualifications

• BS/BA in Computer Science, Mathematics, or a relevant technical field (or equivalent practical experience).
• At least 5 years of experience as a Data Engineer, or in a role with deep ETL expertise.
• Experience managing a Snowflake data warehouse.
• Strong programming fundamentals, with an ability to write modular, maintainable code.
• Advanced SQL and Python skills and strong comfort working with large datasets.
• Working knowledge of at least one big data technology (HDFS, EMR, Redshift, Spark, Flink, or Presto).
• Experience with workflow management tools (preferably Airflow).
• A proactive, service‑oriented mindset with a “can‑do” approach and positive attitude.
• Strong ability to manage multiple projects/tasks across multiple stakeholders.

Responsibilities

• Architect data pipelines that provide fast, optimized, and robust end-to-end solutions for internal users of the analytics infrastructure.
• Automate manual processes and create a platform in favor of self‑service data consumption.
• Own the quality of our analytics data and ensure the Data Team’s SLAs are met on a timely basis.
• Design data schemas and fine‑tune queries around large, complex data sets.
• Interface with data scientists, analysts, and non-data stakeholders to understand their needs and promote best data practices.
• Keep our data available and secure across multiple data centers and regions.
• Implement a robust monitoring & logging framework that guarantees traceability and audibility.
• Vet tools and technologies for the most viable solution for each problem at hand, and manage tools and data vendors involved.
• Bring strong AI fluency to how you build and operate — using AI tools thoughtfully to accelerate development, improve quality, and unlock new approaches to data reliability and automation.

Skills

SQL

Python

Big data

Snowflake

Data modeling

ETL

Data warehousing

Airflow

Communication

Project management

Education

Bachelor's degree in CS/Math or equivalent

Tools

Snowflake

HDFS/EMR/Redshift/Spark/Flink/Presto

Job description

Front is seeking a Staff Data Engineer to own critical analytics platforms end-to-end, designing scalable pipelines and data models while improving reliability and data quality. You will collaborate with analysts, data scientists, and product stakeholders to deliver fast, secure data systems that scale with the business.

This high-impact role requires hands-on execution, pragmatic leadership, and the ability to set technical direction while shipping features.