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About the Role

Front is seeking a Staff Data Engineer to own critical parts of the analytics infrastructure, designing scalable pipelines and data models, ensuring reliability and data quality, and enabling self-serve data access. This role is for someone who enjoys transforming complex data into trusted datasets and partnering with stakeholders to deliver robust data systems.

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

Skills

• ETL
• Snowflake
• SQL
• Python
• HDFS
• EMR
• Redshift
• Spark
• Flink
• Presto
• Airflow
• AI

Location

• Remote

Work Type

• Hybrid
• Remote

Experience Level

• Staff
• 5+ years

Education Level

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

Benefits

• Competitive salary
• Equity
• 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
• Winter Break

About the Company

• 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.

Equal Opportunity

• 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.