Staff Software Engineer

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ApartmentIQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏠 Real Estate

☁️ SaaS

Real Estate • SaaS

ApartmentIQ is a multifamily real estate market data platform that integrates daily data on 40 million units into tools for market surveys, market research, and revenue management. It offers automated daily market surveys, a market research product (Explore Pro), and an AI-driven revenue management product called Daylight. ApartmentIQ serves over 1,500 property management companies (PMCs) and tracks 8M+ units daily, with historical data and pricing/concession data aggregation. The platform is used by asset managers, revenue managers, and business development teams in multifamily real estate to gather competitive intelligence, track construction pipelines, rent comps, and automate market intelligence workflows.

📋 Description

• Own the end-to-end pipeline that produces demand models, renewal probability, price elasticity, and compliance scoring recommendations • Rebuild and reconcile lease and charge data from inconsistent property management system APIs • Provision and manage databases, queues, roles, IAM, encryption, networking, and alarms using Terraform • Build the orchestration layer for ingestion, inference, and downstream daily jobs • Ensure jobs run in the correct order, gate on ready inputs, and recover cleanly from upstream delays • Build observability and alerting for pipeline health, data freshness, and recommendation drift • Work across Python, Terraform, and Ruby/Ruby on Rails • Establish standards and review practices for AI-assisted engineering • Operate production systems end to end, including alarms, backfills, runbooks, and migrations • Improve code quality through reviews and raise engineering standards

🎯 Requirements

• 8+ years building and operating production systems • Strong Python experience in serverless or service contexts, including AWS Lambda, container images, dependency and runtime management, and multi-stage job orchestration • Hands-on Terraform experience, including production data stores, IAM, encryption, networking, and alarms • Fluency in analytical SQL and data modeling • Experience building and debugging multi-stage warehouse pipelines on Redshift • Experience reconciling messy source data into trustworthy datasets • Experience with relational, key-value/document, and search database paradigms • Ability to own changes across a large Ruby on Rails codebase • Deep AWS experience with Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM • Experience keeping production ML models serving correctly over time, including versioning, dependency drift, feature plumbing, and explainability • Experience in a fast-paced, growth-stage environment with shifting priorities and expected ownership • Must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable

🏖️ Benefits

• Flexible vacation policy • Dedicated paid parental leave • Medical, Dental, and Vision insurance plans for you and your family • 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance • Supplemental insurance • Specialized pet insurance coverage • 401k Program • Remote work flexibility • In-person offsites