Staff Data Engineer — Build Scalable, Self-Serve Analytics

Socket.dev; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Health insurance

Parental leave

Flexible time off

Work from home (Mon & Fri)

Job summary

Front’s Data team seeks a Staff Data Engineer to own critical parts of our analytics platform: scalable pipelines, robust data models, and high data quality. You’ll partner with analysts, data scientists, and product stakeholders to ship fast, secure data systems that scale across regions.

You’ll design schemas, optimize queries, and implement monitoring while evaluating tools and AI-enabled approaches to accelerate development and reliability.

Qualifications

• BS/BA in Computer Science, Mathematics, or a relevant technical field (or equivalent practical experience).

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

Data modeling

ETL

Stakeholder management

Team collaboration

Strong programming fundamentals

Big data concepts

Data quality

Education

BS/BA in Computer Science or related field

Tools

Snowflake

Airflow

HDFS

EMR

Redshift

Spark

Flink

Presto

Job description

Front’s Data team seeks a Staff Data Engineer to own critical parts of our analytics platform: scalable pipelines, robust data models, and high data quality. You’ll partner with analysts, data scientists, and product stakeholders to ship fast, secure data systems that scale across regions.

You’ll design schemas, optimize queries, and implement monitoring while evaluating tools and AI-enabled approaches to accelerate development and reliability.