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FrontFrontSan Francisco, CA

Staff Data Engineer

Staff Data Engineer owning end-to-end analytics infrastructure at Front: design scalable pipelines and data models, ensure high data quality and reliability, enable self-serve access, and partner with analysts, data scientists, and stakeholders. Requires 5+ years data engineering experience, Snowflake expertise, advanced SQL/Python, and big data tools.

237k – 270k/yr
Hybrid7+ YOEData Engineering

About the role

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.

Requirements

  • 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.

Nice-to-Haves

  • Strong AI fluency.

Compensation and Benefits

  • Competitive salary.
  • Equity (post-series D & backed by some of the best VCs in the US).
  • Private health insurance, including plan options at no cost to employees.
  • Paid parental leave.
  • Flexible time off policy.
  • Flexibility to work from home Monday and Friday.
  • Mental health support with Workplace Options.
  • Family planning support with Maven.
  • $100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities.
  • Wellness Days - additional day off on months with no holidays.
  • Winter Break - offices closed from Christmas to New Year's Day.

Skills

SnowflakeSQLPythonAirflowSparkETLData PipelinesData ModelingBig DataAI Tools
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