Staff Data Engineer
@ FrontStaff Data Engineer
This job is still taking applications, but it's been up a while.
About the job
Front is a customer operations platform for B2B, helping teams optimize complex customer relationships. The Data team builds analytics infrastructure to support decision-making, partnering with analysts and data scientists to deliver reliable, scalable data systems. Recognized as a top workplace.
Requirements
- At least 5 years of data engineering experience
- Experience managing Snowflake data warehouse
- Strong SQL and Python skills
- Experience with big data technologies
- Proactive, service-oriented mindset
Qualifications
- BS/BA in CS, Math, or related field
- Deep ETL expertise
- Knowledge of data security and monitoring
- Ability to manage multiple projects
Full job description
Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed.
Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's list of Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area™ ,Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.
Front’s Data team builds the analytics infrastructure that powers decision-making across the company — from product insights to GTM performance. We’re looking for a Staff Data Engineer to own critical parts of that platform end-to-end: designing scalable pipelines and data models, raising the bar on reliability and data quality, and enabling self-serve data access for teams across Front.
This is a high-impact role for someone who loves turning complex, messy inputs into trusted datasets, and who can partner closely with analysts, data scientists, and product stakeholders to deliver data systems that are fast, secure, and built to last. You’ll thrive here if you’re hands-on, pragmatic, and excited to set technical direction while still shipping.
What will you be doing?
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
What skills and experience do you need?
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
Front operates on a hybrid model — we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected.
What we offer
Competitive salary
Equity (we are 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, unless posted as a fully remote role
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 - Fronteers get an additional day off on months with no holidays
Winter Break - Our offices are closed from Christmas to New Year's Day!
Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice & EU Privacy Notice
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