We are seeking a data engineer to join our Research & Development team.
You will be an integral part of all stages of the research process including:
Gathering and preparing data for predictive modeling and other advanced analysis
Help the business through automation and operational efficiency of data processes
Refine, automate and document data collection processes in a fast-paced, complex, and ever-changing environment
Develop technical solutions for data flow monitoring processes
Maintenance, improvement, cleaning, and manipulation of data in the business operational and analytics databases.
Analyze complex data elements and systems, data flow, dependencies, and relationships and contribute to conceptual physical and logical data models
Work with software engineers, and the data analytics team in order to understand and aid in the database design, data flow requirements, implementation, performance, and data analyses, and troubleshoot any existent issues.
Work in the development and deployment of innovative big data platforms for advanced analytics and data processing.
Perform thorough testing and validation in order to support the accuracy of data transformations and data verification of day-to-day transactions and data used in machine learning models.
Monitor performance and implement disaster recovery, backup, automated testing, schema migration, and continuous deployment.
Logical and insightful
analytical and inquisitive
Can work collaboratively
Keen with details
Must not only understand data in raw format but also know how to interpret data into a storyboard
Ability to ask and tackle highly analytical questions and generate actionable results and recommendations
Good client management skills with a strong grasp of both technical and business perspectives
Proven ability to work in a fast-paced environment, and to meet changing deadlines and priorities on multiple simultaneous projects
A high interest in understanding the challenges in the real estate industry, particularly the rental business is a plus
2+ years experience performing quantitative analysis, preferably for an internet or technology company
Expertise in SQL – extensive experience querying large, complex data sets. Knowledge of manipulating data using R, Python, SAS, etc is a plus.
B.S. or B.A. in Math, Statistics, CS, Engineering, or other technical field required; advanced degrees a plus