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PermitFlow · Posted 5d ago

Senior Analytics Engineer

$165–215K/yrHybridSenior

Job relayed by Stapply Data, its source: you apply there.

Location
🇺🇸 United States
Contract
Full-time
Role
Analytics engineering
Source
Stapply Data

Stack

  • dbt
  • Looker
  • Tableau
  • Power BI
  • LLM
  • PostgreSQL
  • SQL
  • Python
  • GCP

The posting

Join our team as a Senior Analytics Engineer, where you will design, build, and maintain data infrastructure to support scalable business intelligence. You will collaborate with engineers, product teams, and stakeholders to ensure data integrity, optimize analytics processes, and support decision-making across the company. Key responsibilities include designing and implementing scalable data models, building and maintaining efficient data pipelines, implementing data governance, and delivering analytics solutions. Benefits include equity packages, 100% paid health, dental & vision coverage, and unlimited PTO.

- Design, build, and maintain data infrastructure to support scalable and actionable business intelligence. - Collaborate with product and engineering teams to integrate data from various sources while optimizing for performance and reliability. - Implement data governance to ensure consistency, quality, and security, and define key metrics.

- 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 - Experience with business intelligence tools like Looker, Tableau, or Power BI, and familiarity with cloud platforms like Google Cloud - A deep understanding of data governance, data quality practices, and developing self-serve analytics solutions - Strong proficiency in PostgreSQL, SQL, dbt, or similar data warehousing technologies - Strong communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders - 3+ years of experience in analytics engineering, data engineering, or data analytics roles - Proven experience designing data models and building scalable data warehouses for analytics purposes - Experience using LLMs to power analytics workflows