Data Engineer

at  Frontapp

Location
Santiago, Chile
Type
Full time
Department
Data & Analytics
Front is the modern customer service platform that helps companies delight their customers, engage their teams, and build stronger businesses. We’ve reimagined the help desk for real-time team collaboration across every customer communication channel, then powered it up with AI and automation to resolve issues and help teams work faster. Customers get exceptional service whether they’re looking for a simple, instant answer, or personalized help on their most complex issues — and you get the analytics and insights your business needs to optimize your customer experience. Over 8,500 businesses of all shapes and sizes, from ClickUp to Branch Insurance, Echo Global Logistics to Reed & Mackay rely on Front to deliver game-changing service that wins and retains customers for life.
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 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, Forbes Best Startup Employers 2022 List, and Best workplaces for Millennials 2022 list.
We’re looking for….
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 s.
• 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

• 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 s.
• Stay up to date about the latest developments and effective approaches in data engineering