PermitFlow is building AI agents for the $1.6T construction industry. We’re creating the leading pre-construction platform, starting with the $12B permitting market.
Our platform automates the slow, manual permitting process for builders, covering everything from jurisdiction research to application preparation, submission, and real-time tracking. By transforming fragmented regulations and manual workflows into structured, intelligent systems, we help contractors move faster, reduce risk, and scale with confidence.
We've raised $36.5M+ with Kleiner Perkins leading our Series A, joined by Initialized Capital, Y Combinator, Felicis Ventures, and Altos Ventures. Our backers include founders and executives from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.
We are a team of architects, engineers, permitting experts, and product builders who have felt the pain of pre-construction firsthand and are committed to fixing it. Demand is growing faster than we can meet, and we’re hiring top talent to help us scale.
Our HQ is in New York City with a hybrid schedule (3 in-office days per week). Preference for NYC-based candidates or those open to relocation.
We are looking for a talented and passionate Analytics Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining data infrastructure to support scalable and actionable business intelligence. You’ll work closely with engineers, product teams, and stakeholders to ensure data integrity, optimize analytics processes, and support decision-making across the company.
Design and implement scalable data models optimized for analytics and company-wide reporting, continuously refining them to meet evolving business needs.
Build and maintain efficient data pipelines to transform datasets for analytics.
Collaborate with product and engineering teams to integrate data from sources like PermitFlow’s CRM, 3rd party vendors, and other internal sources while optimizing for performance and reliability.
Implement data governance to ensure consistency, quality, and security. Define key metrics, track data lineage, and enforce data quality checks.
Work closely with stakeholders to deliver analytics solutions, develop dashboards, and provide training on data tools and best practices.
Manage and optimize PermitFlow’s data stack to support scalable reporting and insights.
3+ years of experience in analytics engineering, data engineering, or data analytics roles.
Strong proficiency in PostgreSQL, SQL, dbt, or similar data warehousing technologies.
Experience with ETL pipelines and tools, or other modern data stack tools.
Advanced programming skills in Python or other languages for data transformation and analysis.
Proven experience designing data models and building scalable data warehouses for analytics purposes.
A deep understanding of data governance, data quality practices, and developing self-serve analytics solutions.
Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.
Experience with business intelligence tools like Looker, Tableau, or Power BI.
Familiarity with cloud platforms like Google Cloud.
100% Paid health, dental & vision coverage
️ Lunch & Dinner provided via UberEats w/ a fully stocked kitchen
1 hour live exercise with one of our engineers
Final interview with an Engineering Manager
Originally posted on Himalayas
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