Description
We are seeking a data engineer to join our Research & Development team.
You will be an integral part in 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
Responsibilities
- 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, 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 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.
Desired Attributes
- 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 story board
- 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
- High interest in understanding the challenges in the real estate industry, particularly the rental business is a plus
Requirements
- 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
- Experience and certification in Snowflake or any data warehouse is PREFERRED
About Poplar Homes
"Poplar Homes is a national technology-enabled property management company that empowers property owners and residents throughout their lifetime real estate journey. With remote staffing and a proprietary full-stack platform, Poplar offers zero-fuss leasing, managing, and maintenance services to over 15,000 doors across 17 states and 25 major markets. For renters entering the market, Poplar rebalances the power dynamic and makes it easy to get approved, view available properties, and rent a home online. For property owners, Poplar Homes makes maintaining a rental home as easy as managing a stock portfolio online. Poplar’s coast-to-coast expansion brings national tools to local teams, empowering investors to manage and monetize residential rental property across disparate locations while increasing efficiencies by 5x and saving thousands in operating costs."
Poplar Homes
Property Management
Real Estate
Real Estate Investment
Rental Property
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