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Data Engineer at Lindy | San Francisco

LindySan Francisco
On-site Full-time

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Experience Level

Entry Level

Qualifications

Proven experience in designing and implementing scalable ETL pipelines for product analytics, customer usage data, and business metrics. Expertise in building reliable data warehousing solutions that cater to both real-time and batch processing requirements. Ability to create automated data quality monitoring and alerting systems. Strong skills in developing comprehensive dashboards and reporting systems that effectively track key business and product metrics. Collaborative mindset to work closely with the founder/CEO, PMs, and engineering team to gain insights into customer behavior, product performance, and overall business health. Capability to identify opportunities for improvement in metrics related to customer acquisition, retention, product adoption, and revenue, and to design initiatives to address these. Experience partnering with product and engineering teams to implement analytics for new features.

About the job

About Lindy

Lindy is revolutionizing the way individuals interact with AI by creating an assistant designed for everyone — not just tech enthusiasts. Lindy Assistant seamlessly integrates with iMessage, managing emails, calendars, and meetings with a setup time of only two minutes. We’re focused on bridging the gap between advanced AI models and the everyday lives of our users.

In the role of Data Engineer at Lindy, you will collaborate closely with senior leadership, including the CEO, GTM leads, and Head of Engineering, to extract vital business insights from diverse data sources such as product analytics, BI/revenue data, and customer reports. Your responsibilities will encompass the complete data lifecycle, working alongside product and engineering teams to establish crucial analytics metrics, synthesizing data into actionable insights, and communicating these findings across the organization.

You will take charge of our data infrastructure, refining Lindy’s ETL pipelines, transformed tables, and other essential data engineering frameworks. This position involves significant collaboration with Lindy’s Head of Engineering and Director of Ops & Analytics. At Lindy, expect a dynamic environment characterized by minimal bureaucracy, high empowerment, and a strong sense of urgency.

Note: We are an in-office company located in downtown San Francisco, working four days a week. We provide visa sponsorship and cover relocation expenses up to $20,000.

About Lindy

Lindy is at the forefront of AI innovation, creating user-friendly solutions that empower individuals to optimize their time and enhance productivity. Our focus is on making advanced technology accessible to everyone, ensuring that our users can seamlessly integrate AI into their daily routines.

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