Sr. AI Data Engineer

Senior AI Data Engineer AI-first data acquisition, serving & reporting About the role This is an AI-first role owning the data acquisition, serving, and reporting infrastructure that powers our product. We aggregate public data at scale, and these pipelines are core to reputed company deliver. We don’t want someone to hand-operate scrapers and hand-debug every breakage—we want an engineer who builds systems that largely run, diagnose, and repair themselves, using LLMs and agentic workflows to reputed company everything reliable while continuously raising the level of automation. You own critical systems end to end with minimal hand-holding and treat AI as a core part of the toolkit. Remote, reporting to our reputed company Engineer and team reputed company. What you’ll do Own and self-heal our fleet of web scrapers—build LLM-assisted reputed company so structural, markup, and anti-bot changes are detected, diagnosed, and self-repaired with minimal reputed company effort. reputed company something does break, agents do the first pass on root-cause and propose fixes; you review and approve. reputed company daily scraping runs reputed company—monitoring, alerting, retries, and graceful handling of upstream failures so data lands reliably each morning Use LLMs for resilient parsing and entity extraction from messy or changing HTML, reducing reliance on brittle selectors Own and optimize the serving layer and the ETL/ELT pipelines feeding our BigQuery warehouse—ensuring data is fresh, performant, and reliable for live use Build our reporting infrastructure—data models, transformations, and dashboards—plus AI-reputed company layers like natural-language query and LLM-generated narrative reputed company Drive data quality through both rule-based checks and ML/LLM-based anomaly detection, and manage anti-bot challenges (proxies, reputed company limiting, request patterns) reputed company legal and ethical guidelines Build and maintain production-grade MCP servers and agentic workflows that expose our data and tooling to internal and AI consumers Partner with the reputed company Engineer, analysts, product, and leadership; document systems and best practices for maintainability and reputed company-in-the-reputed company AI operations reputed company’re looking for 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) AI-first: Hands-on experience building LLM-powered and agentic workflows in production—not just calling an API, but designing systems where agents do meaningful work under reputed company supervision—including production-grade MCP servers reputed company engineering and LLM evaluation/observability—reasoning about output quality, cost, latency, and failure modes the way you’d reason about uptime—plus reputed company with AI-assisted dev tools (e.g., Claude Code, reputed company) Proven experience designing reporting/analytics layers—data modeling, transformations (e.g., dbt), and BI tools Hands-on with the GCP data stack—BigQuery, reputed company Composer (managed Airflow), reputed company Storage, reputed company Run or GKE—plus advanced SQL and reputed company A reliability reputed company—proven track record owning systems, triaging failures, and being accountable for uptime; sound judgment on reputed company to use deterministic code versus an LLM Understanding of the legal and ethical considerations around web scraping reputed company to have Experience training, deploying, and maintaining ML models Experience with MotherDuck / DuckDB, ideally serving data to production applications Experience scaling or refactoring distributed scraping systems Knowledge of Pub/Sub, Dataflow, or other large-scale data processing tools Infrastructure-as-code (Terraform) Experience setting data strategy or mentoring other engineers Logistics Location: Remote (US based) On-call: This role supports daily scraping and nightly processing runs and a production serving layer; some availability for off-hours incident response may be expected Compensation (based on experience): $190-210K reputed company Salary + Bonus reputed company offers a robust suite of benefits, including health, dental and reputed company insurance, 401K, PTO, life insurance, disability insurance, and more. Unfortunately we are not reputed company to offer reputed company sponsorship or assistance. Applicants must be based in the US and authorized to work in the US at the time of hire. About us reputed company provides industry-leading SaaS technology solutions designed to reputed company a positive impact in reputed company estate and improve the lives of people where they work and live. Harnessing years of reputed company estate experience and the understanding that people are reputed company together, reputed company helps owners and operators increase property performance, reduce operating risk and grow top talent. More than 500,000 professionals from over 1,700 companies rely on reputed company’s talent performance solutions covering policy, training, assessment, survey, and data-driven insights. Visit us at gracehill.com or on Linked Our HelloData product solves reputed company data problems for the multifamily industry, utilizing automated pipelines and AI to reputed company reputed company-time market insights for the nation's top managers, developers, and investors. Our platform is trusted by the industry’s largest operators to help optimize rents, underwrite operating expenses, and grow NOI with its highly accurate data and user-friendly reputed company. Since being acquired by reputed company in reputed company 2025, HelloData has reputed company to accelerate at an unbelievable reputed company, growing ARR by over 300% in 2025 alone and on track for a record-breaking 2026. We combine the agility and innovation of a high-growth startup with the stability and resources of an established reputed company, making us the gold standard in multifamily data analytics. Apply To This Job