Skip to content
Permitflow

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.

125k – 215kNew York, NYData EngineeringHybrid3+ YOE
Apply

About the role

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

SQLPostgresdbtPythonETLLookerTableauPower BIGCPData Pipelines

Similar roles

Data Engineering jobs
Axle

Bioinformatics Engineer

Develop and optimize Nextflow-based bioinformatics pipelines for high-throughput sequencing analysis on Google Cloud Platform. Requires 3+ years of production pipeline experience, Nextflow proficiency, and strong genomics analysis skills.

125k – 150kRockville, MDData EngineeringOn-site3+ YOERGCP
Applied Intuition

Data & ML Pipeline Software Engineer

Builds large-scale data processing pipelines and ML infrastructure to automate data curation, model training, and iteration for autonomous vehicles using real-world and simulation data. Requires 3-5 years experience in data/ML infra, Python, and frameworks like Spark/Airflow/Kafka.

125k – 222kSunnyvale, CAData EngineeringOn-site3+ YOEETLSpark
Pinterest

Software Engineer II, Big Data, tvScientific

Design and implement scalable data infrastructure using Spark/Scala on AWS. Build data pipelines, knowledge graphs, and APIs to support a high-growth CTV advertising platform.

124k – 255kSan Francisco, CAData EngineeringRemoteAWSSQL
Viz.ai

Clinical Data Manager

Leads end-to-end clinical research data management, building scalable research databases, automating EHR-to-EDC integrations via APIs, ensuring data quality through QC and cleaning, and performing light statistical analysis. Requires 5+ years experience with SQL/Python, EHR datasets, and data standardization.

127k – 183kUnited StatesData EngineeringRemote5+ YOERSQL
Brex

Data Engineer

Build and maintain scalable data models, pipelines, and Core Data tables to transform raw data into actionable insights. Collaborate with data scientists and business teams using SQL, DBT, Snowflake, Airflow, and Python.

121k – 151kSan Francisco, CAData EngineeringHybrid3+ YOESQLdbt