Rhino’s mission is to make renting easy.
Rhino’s first product, security deposit insurance, eliminates cash security deposits and puts more money back in renters’ pockets. With over $45 billion tied up in security deposits for 110 million renters in the United States alone, it’s time for more options for renters at move-in. Tying up money at one of life’s biggest and most expensive moments just isn’t fair.So we threw out the antiquated “way of doing things” and built a technology-driven insurance product to help bring renting into the 21st century.
With Rhino, millions of renters across the country now have the opportunity to save with their award-winning deposit insurance. Rhino has already saved billions of dollars for renters and is trusted in over 3 million homes nationwide.As part of the Data & Analytics team, you will empower data-driven decision making at both strategic and tactical levels by partnering with stakeholders across the organization, helping to build the foundation of a company that is positioned to revolutionize renting.In this role you will:
- Oversee the implementation and maintenance of our dbt environment, ensuring best practices in model development, testing, and deployment
- Create, maintain, and enhance fact and dimension tables to support robust and scalable data models, enabling efficient and accurate data analysis
- Implement data validation and quality checks within ETL processes to ensure the integrity and reliability of data
- Work closely with data analysts, product managers, and other stakeholders to understand data requirements and translate them into efficient solutions
- Monitor and improve the performance of data pipelines and queries, ensuring scalability and efficiency as data volumes grow
- Maintain clear and concise documentation for data models, ETL processes, and data pipelines to ensure knowledge sharing and transparency across the team
We’re ideally seeking:
- 5+ years of direct experience in data engineering or a related role
- Proven experience with dbt, including model development, testing, and deployment.
- Experience in designing and implementing data models, including the creation of fact and dimension tables
- Strong proficiency in SQL and experience with data warehousing technologies (e.g., BigQuery, Snowflake, Redshift)
- Hands-on experience with Analytics software, ETL tools, and processes(e.g. FiveTran, AirByte, Tableau, data pipelines)
- Strong understanding of data modeling and warehousing concepts (star schema, snowflake schema, data lake, or data mart).
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
- Knowledge of version control systems (e.g., Git) and CI/CD practices.
- Previous experience in insurance or financial technology is a plus.
Compensation & BenefitsBase Salary Range: $110,000 - $140,000Rhino has partnered with a number of compensation benchmarking tools to determine competitive and fair market pay bands for our size and stage. Our goal is to ensure each employee is paid equitably and competitively while also maintaining a consistent and standardized methodology.Individual pay decisions are based on a number of factors including qualifications for the role, experience level and balancing internal equity relative to other Rhinos.Base salary is just one part of our Total Rewards Package here at Rhino.
In connection with this position, we also offer:
- Competitive cash compensation package including base salary, performance bonus, and other financial perks
- Medical, Dental, and Vision coverage (up to 90% employer contribution) - eligible from your start date
- 401(k), HSA, Life & Disability Insurance Coverage ($0 employee contribution for additional insurances)
- Unlimited PTO Policy
- Generous Paid Parental Leave
- Stock option plan to give our employees a direct stake in Rhino’s success
- Remote-first work culture with opportunities to collaborate as a team in person
- Monthly lifestyle stipend to fit your needs (meals, wellness, co-working)
