PermitFlow

Analytics Engineer

PermitFlow3 months ago
Location

New York City, NY

Type

Full Time

Salary

USD 125,000 – 215,000

Level

Senior

Role

Analytics Engineer

Posted

Dec 19, 2025

Full TimeSenior

The role

Summary

PermitFlow is seeking an experienced Analytics Engineer to drive data infrastructure and business intelligence within their innovative construction technology platform. The ideal candidate will design scalable data models, build robust data pipelines, and collaborate across teams to deliver actionable insights that support the company's mission of transforming the construction permitting process.

What you'll do

Data Infrastructure Design: Design and implement scalable data models optimized for analytics and company-wide reporting, continuously refining to meet evolving business needs
Data Pipeline Development: Build and maintain efficient data pipelines to transform datasets for analytics, ensuring performance and reliability
Data Integration: Collaborate with product and engineering teams to integrate data from multiple sources including CRM, third-party vendors, and internal systems
Data Governance: Implement robust data governance practices to ensure data consistency, quality, security, and compliance
Stakeholder Collaboration: Work closely with stakeholders to deliver analytics solutions, develop dashboards, and provide training on data tools and best practices
Data Stack Management: Manage and optimize PermitFlow's data stack to support scalable reporting and actionable business insights

What we look for

Technical

Data ModelingProven ability to design complex data models for analytics
ETL ProcessesExperience with modern data transformation and pipeline tools
Database ManagementAdvanced skills in relational database design and optimization

Education

Computer ScienceBachelor's degree in Computer Science, Data Science, or related technical field preferred
AnalyticsAdvanced degree or specialized certification in Data Analytics or Business Intelligence is a plus

Experience

Analytics EngineeringMinimum 3 years of experience in analytics engineering, data engineering, or data analytics roles
Data WarehousingDemonstrated experience in building scalable data warehouses and analytics platforms

Skills

Required skills

PostgreSQLAdvanced database skills for data warehousing and analytics
SQLProficient in complex query writing and data manipulation
dbtExperience in data transformation and modeling
PythonAdvanced programming for data analysis and transformation
ETL PipelinesExpertise in designing and maintaining efficient data extraction, transformation, and loading processes
Data ModelingAbility to design scalable and performant data models for analytics purposes

Nice to have

LookerBusiness intelligence and data visualization tool
TableauAdvanced data visualization and reporting platform
Google CloudCloud platform experience for data infrastructure
Power BIMicrosoft's business analytics and data visualization tool

Compensation & benefits

Salary

USD 125,000 – 215,000 (annual)

Stock options

Available

Benefits

Equity Compensation

Meaningful equity stake in a high-growth startup with significant venture capital backing

Health Coverage

Comprehensive medical, dental, and vision insurance

Flexible Time Off

Unlimited PTO and paid family leave policy

Equipment Support

Home office and equipment stipend to support remote work

Hybrid Work Environment

3 days per week in NYC office with flexible remote options

Meal Benefits

In-office lunch and dinner provided during office days


Interview process

  1. 1
    Initial Screening Phone or video call with recruiting team to discuss background and preliminary fit
  2. 2
    Technical Assessment Data modeling and SQL challenge to evaluate technical skills and problem-solving abilities
  3. 3
    Hiring Manager Interview In-depth discussion of experience, technical capabilities, and alignment with PermitFlow's data strategy
  4. 4
    Team Interview Collaborative session with potential teammates to assess cultural and technical fit
  5. 5
    Final Interview Presentation of a data project or case study demonstrating analytics engineering capabilities

Apply for this position

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