Senior Data Engineer

Description

About DoorLoop

DoorLoop is property management software built for speed and the smart choice for people who take growth seriously. With offices in Miami, New York City, and Tel Aviv, we’re a global company helping property owners and managers move faster, scale smarter, and get real support, real fast.

We’re proudly People First. That’s why we’re a Certified Great Place to Work, recognized by Forbes as one of America’s Best Startup Employers (2024 & 2025), and rated 4.9/5 on Glassdoor.

Mission

DoorLoop is hiring a skilled Senior Data Engineer to build a unified and reliable data infrastructure, improve pipeline and query performance, and support analytics and product teams with a trusted semantic layer. This is a foundational role with significant technical ownership: many systems are still in early stages or fragmented, and much of the current infrastructure needs to be rebuilt. We're looking for someone who can architect long-term solutions that will serve the company not only today, but as we continue to scale rapidly and expand our operations.

Responsibilities

• Own the development and maintenance of the core data infrastructure, ensuring accuracy, reliability, and scalability
• Build and optimize data pipelines and transformation workflows using tools such as dbt and Fivetran
• Design and manage data models and semantic layers to support product, marketing, and operational analytics
• Identify and resolve performance bottlenecks in data processing and querying across the stack
• Collaborate with analytics and product teams to understand their data needs and deliver usable, documented, and consistent data views
• Work closely with BI developers and analysts to ensure high data quality and intuitive access to data in Tableau and other BI tools
• Lead efforts to standardize metric definitions and improve the overall data quality and governance framework
  
  

• You have 5+ years of hands-on experience in data engineering, with a proven track record in building and maintaining scalable data infrastructure
• You are proficient with modern data stack tools including Snowflake, dbt, Fivetran, and Tableau
• You have strong experience designing and maintaining dimensional models and semantic layers that serve multiple business domains
• You’ve led the design and implementation of data infrastructure end to end — not just contributed to isolated components within a large team
• You’re comfortable being the technical focal point for analysts and business stakeholders, working independently and prioritizing effectively in a fast-moving environment
• You understand how to build for scale, performance, and usability across teams with different data needs
• You’re a clear communicator and a collaborative partner to analysts, engineers, and business teams