Transit GIS Developer

Ryan Mahoney

Ryan Mahoney

Director of Product, FirstWho

“It is hard to find someone who builds strong data pipelines and actually cares about the accuracy of that data. We need engineers who see map data as something people rely on, not just a coding task. They have to listen to operations teams when something like a wheelchair route fails and fix the underlying graph attributes without waiting for instructions. Plenty of candidates can write Python scripts, but they lack the care to ensure those scripts survive when real-time feeds change. The real challenge is balancing how fast we move with how reliable the system stays over time.”

Skip the setup

Use as-is, or remix to fit your team.

Start hiring now

Competency Questions

1 of 18

Transit Analysis, Product & Governance

Focuses on leveraging spatial data for routing, fare integration, accessibility compliance, visualization, and strategic governance. At mid-level, emphasizes independent analysis, dashboard creation, and policy implementation.

Fare Integration & Payment Systems

Integrates payment gateway data with ridership spatial datasets for fare policy analysis.

Interview round: Cross-Functional Stakeholder Interview

Walk me through how you have linked geographic zones with fare structures in a previous system.

Positive indicators

  • Mentions edge cases (boundaries)
  • Describes testing with sample trips
  • Considers fare capping

Negative indicators

  • Assumes simple point-in-polygon
  • Ignores transfer rules
  • No validation of pricing

Attitude Questions

1 of 15

Accountability Mindset

The consistent willingness to accept ownership of actions, decisions, and deliverables, specifically regarding spatial data integrity, system reliability, and operational impact, characterized by transparency during errors and reliability in commitments.

Interview round: Hiring Manager Technical Deep Dive

You're midway through automating a data pipeline when you realize the source data has quality issues that will affect downstream users. What do you do?

Positive indicators

  • Prioritizes data quality over speed
  • Communicates early with stakeholders
  • Shows problem-solving approach

Negative indicators

  • Continues hoping issues won't matter
  • Waits for others to discover problems
  • No documentation of known issues

Progression Framework

This table shows how competencies evolve across experience levels. Each cell shows competency at that level.

Transit Analysis, Product & Governance

5 competencies

CompetencyJuniorMidSeniorPrincipal
Fare Integration & Payment Systems

Updates fare zone maps and validates data against policy documents.

Integrates payment gateway data with ridership spatial datasets for fare policy analysis.

Designs data models supporting complex fare capping and multi-modal integration.

Advises on technology selection for future fare collection systems.

Real-Time Data Processing

Monitors real-time feeds and alerts on data gaps.

Processes streaming data and updates live map layers for immediate operational decision support.

Architects low-latency processing pipelines for high-volume streams.

Defines real-time data strategy and integration with emergency systems.

Routing & Network Analysis

Runs predefined network analysis tools and validates output accuracy.

Configures routing parameters and customizes cost functions for specific transit modes using spatial algorithms.

Develops custom routing algorithms and integrates them into planning tools.

Defines network analysis standards and guides long-term network strategy.

Spatial Visualization & Dashboarding

Produces static maps and updates existing dashboard data sources.

Builds interactive web maps and configures dashboard widgets to communicate transit performance and spatial insights.

Designs user-centered visualization systems and ensures accessibility standards.

Sets visualization standards and drives data storytelling strategy.

Strategic Governance & Compliance

Documents compliance checks and assists in audit preparation.

Implements governance policies and manages data access controls for transit data systems.

Leads compliance initiatives and mentors teams on governance standards.

Defines organizational governance framework and strategic technology roadmap.

Transit Data & Infrastructure Engineering

4 competencies

CompetencyJuniorMidSeniorPrincipal
Cloud Infrastructure & Deployment

Deploys applications using existing scripts and monitors cloud dashboards.

Configures infrastructure as code and manages environment variables for transit GIS applications and services.

Architects secure cloud environments and optimizes cost and performance.

Drives cloud strategy and ensures compliance with security frameworks.

Geodatabase Administration & Maintenance

Performs routine database backups and basic user access management.

Optimizes spatial queries and manages schema changes for operational needs in transit spatial database systems.

Designs database architecture for high availability and disaster recovery.

Sets enterprise-wide data governance policies for spatial asset management.

Spatial Data Pipeline Engineering

Executes predefined data pipelines and monitors job logs for failures under supervision.

Develops new ETL scripts and troubleshoots data integrity issues independently for spatial transit data.

Architects robust data pipelines optimizing for latency and volume across multiple sources.

Defines organizational data engineering standards and drives adoption of next-gen pipeline technologies.

Transit API Development & Integration

Assists in documenting API endpoints and testing basic requests.

Develops RESTful endpoints and implements authentication mechanisms for transit data APIs.

Designs API gateways and manages versioning strategies for public consumption.

Defines API ecosystem strategy and integration patterns for partner networks.