--- title: 'Data Engineer at StarRez' canonical: 'https://feeny.ai/job/data-engineer-starrez-hyderabad-8079235j5zw3' type: 'job' last_seen: '2026-10-13' --- # Data Engineer at StarRez - **Company:** StarRez - **Location:** Hyderabad, India - **Posted:** 2026-04-14 - **Last confirmed live:** 2026-10-13 - **Apply:** https://job-boards.greenhouse.io/starrez/jobs/5181891008 ## Job description ## About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner. ## The Role You have an uncanny knack for problem solving and you have a sharp product mindset. Our engineers are involved in all aspects of the software design process and create high-performing, scalable, and secure products. You’ll work alongside cross-functional teams to design right-size solutions that power a new market-leading Analytics platform. As a Data Engineer at StarRez, you will play a critical role in building and scaling the foundations of our Analytics & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the StarRez ecosystem. This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, Full-Stack Engineers, and Product teams to translate customer and business requirements into robust data solutions - enabling everything from standardised dashboards to advanced analytics and embedded intelligence. You are hands-on, pragmatic, and comfortable working in a fast-evolving environment where you’ll help shape both the technical platform and the operating model as we scale. What you’ll be doing - Build and maintain scalable data pipelines to ingest, transform, and model data for analytics and reporting - Develop and optimise data models to support consistent dashboards and KPI definitions - Ensure data quality and reliability through testing, monitoring, and observability practices - Work with Data Analysts and Product teams to translate requirements into reusable datasets and pipelines - Collaborate with Engineering to support data integration, schema automation, and platform scalability - Integrate data from internal and external sources (APIs, third-party systems) - Improve performance, scalability, and cost efficiency of the data platform - Contribute to embedding analytics into the product (dashboards, reporting, data services) - Support advanced use cases such as forecasting, benchmarking, and data-driven insights Required Qualifications - 3+ years of hands-on experience as a Data Engineer, building and maintaining reliable, scalable data pipelines and platforms - Experience designing and maintaining ETL/ELT pipelines (batch and/or streaming) - Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Microsoft Fabric or similar) including IAC - Familiarity with modern data tooling (e.g., dbt, Airflow, Fivetran, Azure Data Factory or equivalents) - Understanding of data integration patterns (APIs, ingestion pipelines, transformation layers) and Solid understanding of data modelling (star schema, dimensional modelling, data warehousing concepts) - Knowledge of data quality, testing, and observability practices (monitoring, validation, lineage) - Strong database fundamentals and SQL experience; comfortable designing safe schema changes considering performance optimisation, scalability, and cost management in data systems - Ability to work closely with Data Analysts and stakeholders to translate requirements into scalable data solutions - Strong communication skills with the ability to turn ambiguous requirements into structured data models and pipelines - Pragmatic approach to balancing speed, quality, and scalability - An inclination towards communication, inclusion, and visibility ## Preferred Qualifications - Understanding of CI/CD pipelines and DevOps principles - Experience working with multi-tenant SaaS data models and secure data access patterns (e.g., tenant isolation, RBAC) - Proficiency with one or more public cloud providers such as Azure, AWS or GCP - Experience building foundations for modern analytics/data platforms and cloud data warehouses (e.g., Snowflake, Azure Synapse, Microsoft Fabric) - Experience with data pipeline tooling and patterns (e.g., Azure Data Factory, Snowflake Openflow, Fivetran, dbt, or similar tools) - Familiarity with multi-tenant SaaS analytics patterns (tenant isolation, RBAC, auditability, and data access controls such as row-level security where applicable) - Strong operational mindset: observability/monitoring, runbooks, incident response, and production support readiness for GA launches Even if you don't have all of the Preferred Qualifications listed above, but feel you have what it takes to succeed in the role, we would love to hear from you! Reasons to join our Team: StarRez is not just a workplace—it’s a place to belong, build, and grow. - A Culture That Lasts: Many of our team members have been with us for 20+ years—a testament to our people-first philosophy. - Global Impact, Local Ownership: Join a team that spans across Australia, the USA, the UK, and Canada, working on industry-leading solutions, while building the centre up from ground up. - Long-Term Vision: We’re not here for short-term gains. We invest in our people for the long haul, creating an environment where you can grow, lead, and thrive. - Innovation with Stability: Backed by Vista Equity Partners, we combine the agility of a scaling SaaS company with the stability of long-term industry leadership. - Z-Factor: We take pride in our culture of passion, care, and high performance. The Z-Factor defines how we support our teams, foster growth, and ensure that everyone at StarRez thrives. If you are excited about building game-changing products in a high-impact, collaborative environment—StarRez India is the place for you. We are proud of our diverse workforce and are dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply. Notice to external Recruiters and Recruitment Agencies: StarRez will not accept unsolicited resumes from recruitment agencies, headhunters, or any other third parties for this role through this website or directly to any employee. StarRez and any of our subsidiaries will not pay fees to any third-party agency or company. In addition, we ask that you do not reach out to any employee with regards to this position, or any other positions, now, or in the future. StarRez is an equal opportunity employer. StarRez is an equal opportunity employer. ## About StarRez ## Company Overview - **One-liner**: StarRez provides a unified residential management platform that automates housing, events, and community operations for universities and accommodation providers globally. - **Entity Type**: Private (Bootstrapped/Profitable, no recent funding rounds disclosed) - **Headquarters**: West Melbourne, Australia (with offices in Denver, USA; London, UK; and Hyderabad, India) - **Founded**: 1992 - **Founders**: Not publicly disclosed ## Core Business - **Primary industry/industries**: PropTech (Property Technology) and EdTech (Education Technology), specifically student housing and accommodation management software. - **Target customers**: B2B, serving universities, colleges, and accommodation providers (on- and off-campus housing, conference and event centers). - **Mission or purpose statement**: "The Platform for Thriving Residential Communities." ## Products & Services - **On-Campus Housing Platform**: A comprehensive SaaS solution for managing room selection, roommate matching, meal plans, and the full student housing lifecycle, with AI enhancements. - **Off-Campus Housing Platform (powered by College Pads)**: A university-branded platform providing verified listings, renter education, and tools for the off-campus housing journey. - **Conference & Events Platform**: Manages group bookings, lodging, and event logistics for conferences, summer programs, and special events. - **Rez360**: A module for managing conduct, community operations, student employment, incident tracking, duty rounds, visitor tracking, and AI-assisted communication. - **StarRez Intelligence**: A suite of responsible, purpose-built AI tools for insights, trend prediction, and workflow simplification (e.g., AI-assisted writing, conversational data exploration). - **StarCare Online**: A 24/7 global support knowledge base for users. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company). - **Key Metric**: Annual Revenue estimated at $25M–$100M (USD) per Glassdoor; serves 1,300+ customers in 25+ countries, managing 3M+ residents. - **Notable Investors/Partners**: Not publicly disclosed (bootstrapped/profitable). Partners include Microsoft Azure (cloud infrastructure) and a network of technology and service providers. - **Growth Signals**: 30+ years in business; 1,300+ customers; 3M+ residents managed; 917,000+ monthly active cloud users; 98% customer satisfaction score; expanding AI capabilities (StarRez Intelligence); hiring across multiple global offices (23 open roles as of mid-2026). ## Competitive Advantages - **Market Leadership**: Dominant, long-standing provider in the niche of student housing management software with 1,300+ customers in 25+ countries. - **Enterprise-Grade Security & Compliance**: SOC 2 Type II, PCI DSS Level 1, HIPAA-Ready, FERPA-Ready, and Cyber Essentials Plus certified. - **Deep Domain Expertise**: 30+ years of specialization in student housing, making them the industry thought leader and subject matter expert. - **High Customer Loyalty**: 98% customer satisfaction score and a strong, collaborative user community. - **Scalable & Configurable Platform**: Serves small properties to global portfolios, with a highly configurable, enterprise-ready solution. ## Strategic Focus - **AI Integration**: Actively building and embedding responsible, purpose-built AI (StarRez Intelligence) across the platform for insights, trend prediction, and workflow automation. - **Platform Expansion**: Deepening the unified platform to connect on-campus, off-campus, and event housing into a single ecosystem. - **Global Growth**: Expanding presence across North America, Europe, and Asia Pacific, with a growing Hyderabad office as a key tech hub. - **Customer Community**: Strengthening the network of housing professionals through events, forums, and peer collaboration. ## Why Work Here - **Culture**: Described as a team of "caring, energetic, high performing and passionate people" with a strong emphasis on community, innovation, and continuous improvement. 85% of employees would recommend to a friend (Glassdoor). - **Work Model**: Flexible working arrangements with remote options globally. Offices in Melbourne (APAC HQ), Denver (North America HQ), London (fully remote team), and Hyderabad (hybrid). - **Benefits**: Competitive salary, retirement benefits, full coverage health insurance, flexible working, volunteer days, Friday lunches, standing desks, and a solar-powered Melbourne office. - **Engineering Culture**: Emphasis on learning from senior staff, attending conferences, and trying new ideas. Active hiring for AI, platform, and engineering roles. - **Diversity & Inclusion**: Glassdoor rating of 4.4/5 for Diversity, Equity & Inclusion. ## Sources 1. [starrez.com](https://www.starrez.com/company/about-us) 2. [starrez.com](https://www.starrez.com/company/careers) 3. [starrez.com](https://www.starrez.com/) 4. [glassdoor.com](https://www.glassdoor.com/Overview/Working-at-StarRez-EI_IE385740.11,18.htm) 5. 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