3+ years experience in analytics engineering or related roles
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 in designing data models and scalable data warehouses
Understanding of data governance and quality practices
Strong communication skills to convey technical concepts to non-technical stakeholders
Responsibilities
Design and implement scalable data models for analytics
Build and maintain efficient data pipelines for analytics
Collaborate with teams to integrate data from various sources
Implement data governance for consistency and security
Deliver analytics solutions and dashboards for stakeholders
Manage and optimize the data stack for reporting and insights
Benefits
Competitive salary and equity in a high-growth company
Comprehensive medical, dental, and vision coverage
Flexible PTO and paid family leave
Home office equipment stipend
Hybrid office culture with access to leadership
In-office meals provided
Full Job Description
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
Competitive salary and meaningful equity in a high-growth company
100% company-paid base medical, dental, and vision coverage for employees + healthcare FSA
