PermitFlow

More roles at PermitFlow

Senior Analytics Engineer

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · New York City, NY

Employer listed it 4 days ago · Added 2 days ago

First listed 4 days ago and still open.

Salary

$165k to $215k per year

Location

Hybrid · New York City, NY

Timezone

Not stated

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Our HQ is in New York City with a hybrid schedule (3 in-office days per week).
Contract: Not mentioned in the advert
Experience asked for: 3+ years of experience in analytics engineering, data engineering, or data analytics roles.
Pay: Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity.

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around New York City, NY, Hybrid, so you need to live within commuting distance.

What the employer says

Source listing states candidate location: "New York City, NY, Hybrid"
Listing mentions "Hybrid"

What Nomaders makes of it

Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

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.

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.

Experience using LLMs to power analytics workflows.

What We Offer

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

·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

How to apply

1Check the flexibility label above, hybrid, matches where you plan to live and work.
2Tailor your CV to the role at PermitFlow, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 3d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.