Get It Recruit - Real Estate

Business Intelligence Data Engineer -- Remote --

Job description

About Us

The company is a rapidly expanding, cutting-edge technology company dedicated to delivering significant value to real estate enterprises, brokerages, and teams. We pride ourselves on innovation and fostering a dynamic work environment.

Position Overview

We are currently seeking a skilled and motivated Business Intelligence Data Engineer to join our dynamic team. As a Business Intelligence Data Engineer at the company, you will play a crucial role in shaping our data infrastructure, driving insights, and facilitating data-driven decision-making processes.


  • Assemble large, complex datasets to meet functional business requirements.
  • Identify, design, and implement data collection and aggregation strategies to enhance scalability and automate manual processes.
  • Collaborate with stakeholders across the company to address data infrastructure needs and provide technical support.
  • Work closely with the data engineering team to model data structures, architect data orchestration, and execute ETL procedures.
  • Take ownership of projects from inception to delivery.
  • Assist the analyst team in developing Tableau dashboards and conducting ad hoc data analysis.
  • Monitor, troubleshoot, and optimize ongoing ETL and data orchestration processes.
  • Collaborate with cross-functional leadership to drive data-informed decision-making processes.
  • Undertake other data engineering projects as assigned by your manager.


  • Bachelor's degree in Business, Statistics, Computer Science, or related technical field with a minimum of 2 years of experience in a similar role OR a minimum of 5 years of experience in a related role.
  • Proficiency in data warehousing languages such as Python and SQL, as well as data orchestration tools like Apache Airflow or equivalent technologies.
  • Extensive experience with AWS technologies (Redshift, SQS/SNS, CloudFormation, RDS, Glue, S3, EC2) in a big data and decision support environment.
  • Direct experience in managing large datasets from various SaaS business solutions and integrating them into reporting environments.
  • Familiarity with SaaS business solutions, including at least one or more of: Intercom, Chargify, Netsuite, Salesforce, Zapier, Amplitude, Segment, Outreach, HubSpot.
  • Project management skills, including the ability to generate, explain, and present detailed project metrics and documentation.
  • Strong analytical skills with structured and unstructured datasets.
  • Excellent written and verbal communication skills, with the ability to collaborate effectively with stakeholders at all levels.
  • Experience with data streams from Kafka or similar technologies is a plus.
  • General understanding of the residential real estate industry is advantageous.

Join Our Team

If you are passionate about leveraging data to drive business outcomes and thrive in a fast-paced, collaborative environment, we invite you to apply for the Business Intelligence Data Engineer position at our company. Join us in shaping the future of real estate technology!

Employment Type: Full-Time

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