New York / permanent /
Our firm is the only property data platform that informs every transaction for decision-makers who want to reduce risk, cost & waste in an increasingly competitive environment. We provide software and services that capture, organize, and analyze data for buildings and properties to unlock valuable insight. Our company is quickly becoming essential to every transaction by making every property thoroughly understood.
Every day, our team is focused on the needs of our customers. We strive to earn their trust by providing valuable, accurate insight that is important to their businesses. We provide our customers with information that is not only useful to their business decisions but is easy to use. We combine high quality human interactions with sleek, intuitive design and are pioneers on the journey alongside our customers, who are transforming the way they do business with data-driven decision-making.
Our Machine Vision team builds computer vision and machine learning models to detect property conditions and identify property risk factors using aerial imagery. We are looking for a Data Engineer to join the team to build, test and maintain our ever-evolving architecture/environment including our R&D database and cloud storage system. The Data Engineer will work very closely with our data scientists and machine learning engineers to empower their research and ensure smooth operations, and with our engineering team to enable integration with and seamless flow in and out of our production environment.
We provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetics, Veteran status, or other legally protected characteristics. In addition to federal law requirements, compling with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
We will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the guidelines applicable in your area.
We expressly prohibit any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of we employees to perform their job duties may result in discipline up to and including discharge.