HappyCo

HappyCo

HappyCo provides an AI-powered platform designed to centralize and optimize maintenance operations for multifamily properties, enabling real-time inspection, monitoring, and management of business assets to enhance resident satisfaction and operational...

Professional Services
51-250
Founded 2012
$12M raised

Description

  • Drive and execute the data strategy to align with company goals and the product roadmap.
  • Oversee technical execution of data initiatives, including data architecture, warehousing, analytics, and reporting.
  • Design, develop, and maintain scalable and secure data infrastructure to support storage, reporting, and security requirements.
  • Implement and enforce best practices for building and maintaining ETL/ELT pipelines and effective data governance.
  • Collaborate with stakeholders across departments to understand business data needs and deliver actionable insights.
  • Lead, mentor, and provide technical guidance to a small team of data engineers, fostering collaboration and continuous improvement.
  • Monitor and optimize cost and performance of data products, cloud services, and third-party tooling.
  • Shape and evolve data modeling approaches to ensure efficient, scalable data structures.

Requirements

  • 5+ years of experience in data engineering, data warehousing, or enterprise reporting with a track record of executing data strategies.
  • Proficiency with Looker (required) and LookML experience for BI and reporting.
  • Hands-on experience with BI and data warehouse tools, databases, and data modeling across relational and document-based systems (SQL and NoSQL).
  • Strong expertise in data modeling techniques and strategies for efficient, scalable data structures.
  • Proficiency in programming and scripting for data pipelines and automation (Python, SQL, Bash preferred).
  • Experience with cloud platforms (GCP, AWS, or Azure preferred) and cloud data services (BigQuery, Cloud Storage, Datastream, Cloud SQL, Pub/Sub, Cloud Functions noted).
  • Proven leadership experience managing and mentoring junior data engineers and/or analysts.
  • Process-improvement mindset with experience identifying and implementing efficiencies in data workflows and infrastructure.
  • Excellent communication and collaboration skills with the ability to translate complex technical concepts into business-friendly language; experience with early-stage startups, multifamily residential property industry, or Enterprise B2B SaaS research is a plus.
  • Ability to work full-time remotely within the United States (role listed as Remote / United States).

Benefits

  • Full-time remote work (US-based) and a flexible, supportive culture.
  • Opportunities for career growth, mentorship, and professional development.
  • Inclusive, equitable workplace with commitment to diversity and reasonable accommodations for qualified candidates.
  • Collaborative, cross-functional environment that emphasizes ownership and impact.
  • Work on a high-impact product used across millions of housing units (opportunity for visible business impact).

Interested in this position?

Apply directly on the company website

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