Analytics Engineer
Builds and maintains scalable data pipelines, models, and warehouses to enable business intelligence and decision-making. Collaborates with teams on data integration, governance, and self-serve analytics using SQL, dbt, Python, and BI tools. Requires 3+ years experience.
About the job
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)
Skills
SQL, Postgres, dbt, Python, ETL, Looker, Tableau, Power BI, GCP, Data Pipelines