Data Engineer

4 weeks ago

New York, New York, United States PermitFlow Full time
About PermitFlow

PermitFlow is a software company that aims to simplify construction permitting in the United States construction market. Our mission is to reduce the time it takes to obtain permits, making the process more efficient and streamlined.

We've raised a significant amount of funding, led by Kleiner Perkins, and have a team of experienced professionals who have personally gone through the pain of permitting. Our team consists of architects, structural engineers, permitting experts, and workflow software specialists.

What We're Looking For

We're seeking 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.

Responsibilities
  • Design and implement scalable data models optimized for analytics and company-wide reporting.
  • 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.
  • 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.
Qualifications & Fit
  • 4+ 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.
Benefits

We offer a competitive salary, equity packages, 100% paid health, dental & vision coverage, company-issued laptop, home office & equipment stipend, lunch & dinner provided via UberEats, commuter benefits, team building events, and unlimited PTO.

Interview Process

The interview process will consist of a 20-minute recruiter screen, a take-home coding assessment, a 1-hour live-coding session with one of our engineers, a final interview with our CTO and co-founder, and reference checks.

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