Staff Software Engineer - Data

ApartmentIQ is a profitable, growth-stage company building AI and data SaaS products for the PropTech space. The Staff Software Engineer - Data will own the end-to-end data and pricing recommendation pipeline, including ingestion, machine learning services, infrastructure, orchestration, observability, and application-layer development.

Responsibilities:

• Own a system that sets rents. Demand models, renewal probability, price elasticity, compliance scoring - you'll own the pipeline that produces them and be accountable for the recommendations landing correctly
• Solve a genuinely hard data problem. Property management systems are walled gardens with inconsistent APIs and no shared identity model. Getting clean, reconciled lease and charge data out of them is the core technical challenge of this role, and we're rebuilding it from scratch right now
• Build the infrastructure you depend on. Every database, queue, and role is in Terraform, and you'll write it. No ticket to another team to get a table provisioned
• Build the orchestration layer. Ingestion, inference, and the downstream daily jobs need to run in the right order, gate on their inputs being ready, and recover cleanly when something upstream is late. You'll own that coordination layer end-to-end — today it's cron and careful timing; you'll make it a real pipeline
• Prove the numbers are right. Build out the observability and alerting across the data architecture — pipeline health, data freshness, and recommendation drift — so a bad number gets caught before a customer prices a lease against it
• Work across the whole stack, for real. Python, Terraform, and Ruby are all first-class parts of this job, not a "some exposure to" bullet
• Set the bar on AI-assisted engineering. A large and growing share of what we merge is AI-assisted. We want someone with strong opinions about how to do that well and the review judgment to enforce them

Requirements:

• 8+ years building and operating production systems, with real ownership of something significant
• Strong Python in a serverless or service context - AWS Lambda, container images, dependency and runtime management, multi-stage job orchestration
• Hands-on Terraform. You've stood up a production data store yourself, including the IAM, encryption, networking, and alarms around it
• Fluent in analytical SQL and data modeling - you've built and debugged multi-stage warehouse pipelines (ours run on Redshift) and reconciled messy source data into something trustworthy
• You've worked across the major database paradigms - relational, key-value/document, and search — and know what one is the best tool for the job at hand
• You can own changes across a large Rails codebase, even if it's not where you've spent the most time
• Deep AWS across Lambda, S3, SQS, Kinesis, EventBridge, DynamoDB, Aurora/RDS, Redshift, and IAM
• You've kept models serving correctly over time - versioning, dependency drift, feature plumbing, explainability. You don't need to have trained them
• Experience navigating a fast-paced, growth-stage environment where priorities shift and ownership is expected
• Applicants must be authorized to work for any employer in the U.S
• We are unable to sponsor or take over sponsorship of an employment Visa at this time
• Golang experience
• Web scraping at scale (Playwright or similar)
• OpenSearch index management and tuning
• SOC 2 or similar compliance and security remediation work
• xgboost, scikit-learn, or SHAP
• Multifamily, PropTech, or revenue management domain experience