Front

Front is the leading AI-powered customer service platform built for collaboration. Front brings core support channels into a modern, intuitive workspace where teams can collaborate on requests, automate manual processes, and delight customers across their entire lifecycle. Front’s flexible workflows, AI features, and customer intelligence provide the efficiency and insights to keep entire organizations customer-first, every day. More than 9,000 of the most innovative companies worldwide including CultureAmp, HootSuite, and Y Combinator use Front to deliver five-star service at scale.

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.

At Front, data plays a crucial role by providing key insights and driving decisions. The data team works directly with a wide variety of partners, including executives, product, sales and marketing teams. As a data engineer, you will manage the data infrastructure and ensure its data quality and reliability. You will help in researching and onboarding new tools that will improve the data flow in the organization.

If you're passionate about maintaining data platforms and security, supporting analytics use cases, and solving complex data problems, then this is the team for you!

What will you be doing?

• Design, develop, and maintain scalable and reliable data pipelines and infrastructure.
• Optimize data storage, processing, and retrieval for efficient and flawless operation.
• Collaborate with teams from different departments to gather and analyze data requirements.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Implement data models and schemas to support various data-driven applications.
• Stay up to date about the latest developments and effective approaches in data engineering.

What skills & experience do you need?

• Strong problem-solving and analytical abilities.
• Bachelor's degree in Computer Science, Engineering, or a related field, with at least 2 years of data engineering experience.
• Proven experience in designing and developing data pipelines and ETL processes.
• Strong expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
• Experience with Snowflake, Spark, Databricks, Airflow and related Big Data technologies.
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Excellent communication and collaboration skills.
• Experience with BI tools like Mode, Tableau is a plus.

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