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.
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