Staff Data Engineer

Laurel’s Mission to Return Time:

We’re a team that is connected by time. Life has taught us its true value and finite nature. We value every minute and are on a mission to return time. And we live and breathe that mission in everything we do — from how we build our product that saves our customers time to how we operate as a company. 

Come work with a team that’s intelligent yet humble, visionary yet gets things done. A team that’s only getting started at cracking a problem that affects every person who uses a screen to work. 

Come build a company that will stand the test of time as we look to understand time itself. 

We all waste a staggering amount of time at work (~33%) because we have no idea where we are spending it. Worse yet, we continue to operate in a factory model that simply does not apply to creative work. Our big bet is that by understanding time, we’ll be able to move away from it as a unit of value. In the future knowledge economy (lawyers, accountants, engineers), contributions will be assessed on value added, not the underlying time spent adding it.

Ambitious mission to say the least, so where are we starting? We have created a new market category called Time Automation that automates the timekeeping process for professionals and allows us to collect time data at scale. Before Laurel, professionals had to manually record every six minutes of their day into antiquated timekeeping software. Not anymore. We are moving away from a world in which humans tell a machine what they did at work, to our version of the world in which the machine tells the human.

We are looking for individuals who share our passion of returning time. Come join us on our journey as we spend time solving time.  It will be a long road but if we’re even half right, we’ll change the way work is measured and performed forever.

About Laurel

At Laurel, we are revolutionizing timekeeping for professional services with our innovative AI-powered solutions. We believe that leveraging data effectively is key to our growth and success, and we’re building a world-class Data Science Team to support our mission.

Mission

To democratize data access and usage across Laurel, creating scalable, reliable data models that generate actionable insights and drive business improvements.

Role Summary

As a Data Engineer, you will be instrumental in developing and maintaining Laurel’s data infrastructure, ensuring it supports the launch and scaling of our Data Product to $2.5M ARR by the end of 2025. You will work with cutting-edge tools to deliver a robust data platform, support analytics needs across the organization, and play a critical role in enabling data-driven decision-making.

Key Responsibilities

1. Data Platform Development
   
   • Design, build, and maintain Laurel’s Analytics Data Warehouse as the single source of truth for analytics and reporting needs.
   • Create scalable ETL/ELT pipelines to ingest, process, and organize data from diverse sources (PMS, Web Analytics, WebApp).
   • Deploy and maintain Business Intelligence tools to provide analytics and reporting capabilities.
2. Support Data Product Launch
   
   • Collaborate with the Data Science team on the design and development of a scalable analytical data warehouse to support the Data Product and achieve $2.5M ARR by the end of 2025.
3. Cross-Functional Collaboration
   
   • Partner with Product, Customer Experience, and Sales teams to support analytics and insights
   • Develop self-service Business Intelligence Reports for Laurel’s Customer Experience team and provide project-based analyses.
4. Analytics Enablement
   
   • Build and maintain analytics data tables to support organizational KPIs.
   • Develop and automate data solutions to improve efficiency and insights generation.
   • Ensure high data quality, availability, and security.

Skills and Experience

• Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience: 6+ years of professional experience as a Data Engineer. Ideal candidates will be comfortable working with large-scale data systems.
• Technical Prof