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AdQuick · 2 months ago

Senior Software Engineer (Full Stack) - Analytics

United States

Full-time

Remote

Senior Level

5+ years exp

AdQuick is a leader in out-of-home (OOH) advertising technology and services. They are seeking a Senior Software Engineer (Full Stack) with strong analytics and data engineering experience to build end-to-end analytics features and develop measurement systems that connect out-of-home advertising to online behavioral outcomes.

AdvertisingAdvertising PlatformsE-CommerceMarketingMarketplace

Responsibilities

Building end-to-end analytics features: from data ingestion and transformation in BigQuery to user-facing visualizations and insights

Developing attribution and measurement systems that connect out-of-home advertising to online behavioral outcomes (AdWords, Facebook Ads, movement data, etc.)

Creating performant data visualizations and interactive mapping experiences that layer complex datasets (demographics, voting data, census data, campaign performance)

Designing and optimizing data pipelines that process large-scale advertising data while maintaining low-latency query performance

Collaborating with data science teams to productionize models and surface ROI insights that help customers plan more effective campaigns

Managing support tickets and ensuring data accuracy and reliability for customer-facing analytics

Continuously refining our analytics infrastructure for better efficiency, scalability, and data quality

Qualification

Full-stack engineeringData engineeringAnalytics productsBigQueryData visualizationETL/ELT processesRuby on RailsGoogle Cloud PlatformAI coding toolsKafkaPostgresStartup-mindedPragmatic approachTechnical versatilityCollaboration with data science

Required

A full-stack engineer with strong analytics and data engineering experience—comfortable working across frontend visualizations, backend APIs, and data infrastructure

5+ years of production engineering experience building data-intensive systems and analytics products

Startup-minded: comfortable working independently, taking ownership, and driving analytics features from concept to completion

Pragmatic in your approach—you know when to move fast and ship insights versus when to invest in scalable data pipelines and infrastructure

Technically versatile with experience in our stack or similar technologies (especially data warehousing, ETL/ELT, and visualization)

AI-fluent: you leverage AI coding tools to boost productivity while maintaining code quality and ownership

Analytics and product-oriented: you understand how data drives decisions and think about user needs, measurement accuracy, and business impact