
51 - 200 employees
🏠 Real Estate
📚 Education
🏢 Enterprise
💰 Private Equity Round on 2014-08
Real Estate • Education • Enterprise
Grace Hill is a company that specializes in providing industry-specific policy, training, and assessment solutions designed to improve performance in the multifamily and commercial real estate sectors. Their offerings include comprehensive training content, mystery shopping services, survey tools, and reputation management solutions. Grace Hill is dedicated to helping multifamily property management companies and commercial real estate organizations enhance their performance through innovative solutions and expertise in real estate technology.
🔥 12 hours ago
🇺🇸 United States – Remote
💵 $190k - $210k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
🏠 Real Estate
📚 Education
🏢 Enterprise
💰 Private Equity Round on 2014-08
Real Estate • Education • Enterprise
Grace Hill is a company that specializes in providing industry-specific policy, training, and assessment solutions designed to improve performance in the multifamily and commercial real estate sectors. Their offerings include comprehensive training content, mystery shopping services, survey tools, and reputation management solutions. Grace Hill is dedicated to helping multifamily property management companies and commercial real estate organizations enhance their performance through innovative solutions and expertise in real estate technology.
• Own and self-heal our fleet of web scrapers • Keep daily scraping runs stable—monitoring, alerting, retries, and graceful handling of upstream failures • Use LLMs for resilient parsing and entity extraction from messy or changing HTML • Own and optimize the serving layer and the ETL/ELT pipelines feeding our BigQuery warehouse • Build our reporting infrastructure—data models, transformations, and dashboards • Drive data quality through rule-based checks and ML/LLM-based anomaly detection • Build and maintain production-grade MCP servers and agentic workflows
• 6+ years in data engineering, including ownership of mission-critical production systems • Strong Python with deep experience building, maintaining and debugging scrapers (e.g., Scrapy, Playwright, Selenium, BeautifulSoup) • Hands-on experience building LLM-powered and agentic workflows in production • Proven experience designing reporting/analytics layers—data modeling, transformations (e.g., dbt), and BI tools • Hands-on with the GCP data stack—BigQuery, Cloud Composer (managed Airflow), Cloud Storage, Cloud Run or GKE • A reliability mindset—proven track record owning systems, triaging failures, and being accountable for uptime
• health, dental and vision insurance • 401K • PTO • life insurance • disability insurance
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