Senior Software Engineer - Data Infrastructure

ApartmentIQ is a growth-stage company focused on building industry-leading martech and data products for the rentals industry. They are seeking a Senior Software Engineer to drive the evolution of their shared data platform, ensuring that data initiatives align with business goals and deliver clear value. The role involves managing data delivery, scaling ingestion processes, and collaborating across teams to enhance product features and customer insights.

Responsibilities:

• Own the end-to-end delivery of data across Market Research, Market Surveys, and Daylight Revenue, aligning technical priorities with product goals
• Design and evolve our ingestion pipelines, processing data for 10M+ multifamily units through XML/JSON feeds, web scraping, warehouse transformations, and API exposure
• Define what accuracy, completeness, and timeliness mean for our datasets, ensuring all requirements meet the specific needs of each product line
• Work closely with Product and Application Engineering to ensure new datasets unlock measurable features and actionable customer insights
• Build strong observability into our systems, including daily monitoring, anomaly detection, and automated alerts to maintain ingest health
• Lead the delivery of data milestones by defining goals, tracking progress in Linear, and communicating outcomes to stakeholders
• Stay current with data and AI tooling to help the team work more efficiently and integrate new technologies where they add value
• Foster a culture of continuous improvement by maintaining clear documentation and mentoring others on data best practices

Requirements:

• 5+ years of software or data engineering experience with a focus on delivering pipelines that power customer-facing features
• Strong experience in Python. Ruby on Rails is a plus
• Deep understanding of large-scale data collection, including web scraping, parsing, proxy management, and structured feed ingestion
• Hands-on experience with batch-style data workflows using tools like dbt, Airflow, or similar equivalents
• Deep expertise in AWS infrastructure (RDS, ECS, S3, Lambda, OpenSearch)
• Familiar with modern stacks for performance tracking, error monitoring, and distributed tracing
• Strong ability to translate complex technical details into clear, actionable product outcomes
• Experience navigating a fast-paced, growth-stage environment where priorities shift and ownership is expected