Data Engineer

6 days ago

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

PermitFlow is a pioneering software company that aims to revolutionize the construction permitting process in the United States. With a mission to streamline and simplify this complex process, our innovative platform reduces time to permit and supports permitting end-to-end, including research, application preparation, submission, and monitoring.

Backed by a $31 million Series A investment led by Kleiner Perkins, we have assembled a talented team of architects, structural engineers, permitting experts, and workflow software specialists who have firsthand experience with the pain points of permitting.

About the Role

We are seeking a highly skilled Analytics Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, building, and maintaining data infrastructure to support scalable and actionable business intelligence. You will work closely with engineers, product teams, and stakeholders to ensure data integrity, optimize analytics processes, and drive decision-making across the company.

Key Responsibilities
  • 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, defining key metrics, tracking data lineage, and enforcing 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.
Requirements
  • 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.
What We Offer
  • Competitive salary range: $140K - $180K.
  • Equity packages.
  • 100% paid health, dental & vision coverage.
  • Company-issued laptop.
  • Home office & equipment stipend.
  • Lunch & dinner provided via UberEats with a fully stocked kitchen.
  • Commuter benefits.
  • Team building events.
  • Unlimited PTO.

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