Senior Software Engineer – Data

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Drive the evolution of the shared data platform powering ApartmentIQ products • Own end-to-end data delivery across Market Research, Market Surveys, and Daylight Revenue • Design and evolve ingestion pipelines processing data for 10M+ multifamily units • Process XML/JSON feeds, web scraping, warehouse transformations, and API exposure • Define accuracy, completeness, and timeliness standards for datasets • Collaborate with Product and Application Engineering to unlock measurable features and customer insights • Build observability with daily monitoring, anomaly detection, and automated alerts • Lead data roadmap execution by defining goals, tracking progress in Linear, and communicating outcomes • Evaluate and integrate emerging data and AI tools • Maintain documentation and mentor others on data best practices

🎯 Requirements

• 5+ years of software or data engineering experience focused on delivering pipelines that power customer-facing features • Strong experience in Ruby on Rails and Python • 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 dbt, Airflow, or similar equivalents • Deep expertise in AWS infrastructure, including RDS, ECS, S3, Lambda, and OpenSearch • Familiarity with modern stacks for performance tracking, error monitoring, and distributed tracing • Ability to translate complex technical details into clear, actionable product outcomes • Experience in a fast-paced, growth-stage environment where priorities shift and ownership is expected • Must be authorized to work for any employer in the U.S. • Employment visa sponsorship is unavailable

🏖️ Benefits

• Remote work from home across most of the U.S. • In-person offsites • Flexible vacation policy • Dedicated paid parental leave • Medical, Dental, and Vision insurance plans for employees and their families • 100% company-paid Short-Term Disability • 100% company-paid Long-Term Disability • 100% company-paid Basic Life Insurance • Supplemental insurance • Pet insurance coverage • 401k Program