Analytics Engineer

PermitFlow; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Competitive salary & meaningful equity

100% company-paid health coverage

401(k) savings plan

Unlimited PTO & paid family leave

Home office stipend

Daily in-office meals

Job summary

PermitFlow, an applied AI company redefining how America builds, is seeking an Analytics Engineer in a hybrid NYC-based role. You will design and maintain scalable data infrastructure, pipelines, and governance to support business intelligence across the organization.

You will collaborate with product and engineering teams to integrate data from multiple sources, build dashboards, and enable self-serve analytics for stakeholders.

Qualifications

• 3+ years of analytics engineering, data engineering, or data analytics experience.
• Strong proficiency in PostgreSQL, SQL, and dbt.
• Experience with ETL pipelines and modern data stack tools.
• Advanced programming skills in Python or similar languages.
• Experience designing data models and scalable data warehouses for analytics.
• Knowledge of data governance, data quality practices.
• Strong communication and collaboration with non-technical stakeholders.

Responsibilities

• Design and implement scalable data models for analytics and reporting.
• Build and maintain data pipelines to transform datasets for analytics.
• Integrate data from CRM, vendors, and internal sources with performance focus.
• Implement data governance, data quality checks, and data lineage tracking.
• Deliver analytics solutions, dashboards, and user training on data tools.
• Manage and optimize the data stack to support scalable reporting.

Skills

PostgreSQL

SQL

dbt

Python

Data modeling

Data warehouses

Data governance

Communication

Tools

ETL pipelines

Looker

Tableau

Power BI

Google Cloud

Job description

PermitFlow is redefining how America builds. We’re an applied AI company serving the nation’s builders, tackling one of the largest information challenges in the economy: understanding what can be built, where, and how. Our AI agent workforce helps the fastest‑growing construction companies navigate everything from permitting and licensing to inspections and project closeouts – accelerating housing, clean‑energy, and infrastructure development across the country.

Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. PermitFlow has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de‑risk projects, and scale with confidence.

As the U.S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining PermitFlow means building the AI infrastructure at the core of every construction project driving the next wave of reindustrialization.

We’ve raised over $90M, most recently completing our Series B, from top‑tier investors including Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.

Our HQ is in New York City with a hybrid schedule (3 in‑office days per week). We prefer NYC‑based candidates or those open to relocation.

Role Overview

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.

What You’ll Do

• 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.

What We’re Looking For

• 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, and familiarity with cloud platforms like Google Cloud.

What We Offer

• Competitive salary and meaningful equity in a high‑growth company
• 100% company‑paid base medical, dental, and vision coverage for employees + healthcare FSA
• 401(k) savings plan
• Unlimited PTO and paid family leave
• Home office & equipment stipend
• Daily in‑office lunch and dinner provided
• Commuter benefits (pre‑tax transit and parking)

PermitFlow provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, gender expression, or family status, as protected by applicable law.

We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All employment decisions are based on merit, qualifications, and business needs.