Machine Learning Data Engineer
Posted on 2/7/2024
INACTIVE
darwinhomes

51-200 employees

Tech-enabled property leasing & management
Company Overview
Darwin Homes distinguishes itself in the property management sector by leveraging a tech-driven approach that streamlines the rental process, from discovery to lease signing, through a user-friendly mobile application. Their use of smart lock technology facilitates self-guided property tours, enhancing convenience for prospective tenants, while their integrated management platform offers transparency and professionalism that benefits both property owners and residents. Darwin's commitment to providing round-the-clock support underscores their dedication to customer satisfaction and positions them as a forward-thinking leader in the single-family rental market.
AI & Machine Learning
Data & Analytics
Real Estate
B2B & B2C

Company Stage

N/A

Total Funding

$22M

Founded

2018

Headquarters

Austin, Texas

Growth & Insights
Headcount

6 month growth

37%

1 year growth

47%

2 year growth

97%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Redshift
Python
SQL
Data Analysis
Snowflake
CategoriesNew
Data & Analytics
Requirements
  • Bachelor’s Degree in STEM related field or equivalent
  • Three years of data engineering or equivalent experience
  • Proven experience designing and implementing scalable, performant data pipelines, data services, and data products
  • Built and maintained data warehouses with ETL/ELT pipelines
  • Experience with data modeling, data lakes, and warehouse design
  • Experience with various databases and data warehouses such as Redshift and Snowflake
  • Background in ETL and data processing, familiar with how to transform data to meet business goals
  • Experience working with Fivetran and DBT is a bonus
  • Strong knowledge of SQL and Python
Responsibilities
  • Design and build scalable and robust data pipelines to collect, process, and distribute large volumes of data efficiently
  • Build ETL pipelines that will enable and streamline regular reporting on SLAs
  • Provide clear documentation on data models with source, description and field definitions for better collaboration, maintainability, and usability
  • Provide recommendations and guidance related to data integration strategy in order to meet future analytic and model needs
  • Make our data more discoverable and easier to use for analytics and Machine learning modeling
  • Modify and improve data engineering processes to handle ever larger, more complex, and more types of data sources and pipelines
  • Work with AI/ML teams to understand their business and technical problems and deliver data to support the solutions to those problems
  • Incorporate core data management competencies including data governance, data security and data quality
  • Test data movement, transformation code, and data components
Desired Qualifications
  • Experience working with Fivetran and DBT
  • Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues
  • Have strong communication skills to collaborate with cross-functional partners and drive projects