Who We Are
Land Intelligence is a software technology company serving the commercial real estate industry.  We focus on Land Development.  We have been recognized as an industry technology leader in providing solutions on a national scale. Our team are visionaries that see a better, faster, and more valuable way to research, finance, and trade land.  
 
Our Culture
We are entrepreneurs first. Which means we manage the people, processes and product. We create new ways of doing things to drive value. We are builders and growth minded.  Our leadership team has been recognized as a Best Places to work in the industry nationally. Our team drives for personal and professional development, as personal growth is instrumental to our success. Your learning will be supported by specialized in-house training programs and mentoring by the industry’s leading experts, many of whom are our investors and strategic partners.

Job Overview

Responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex datasets that meet business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies
• Build analytics tools that use the data pipeline to provide actionable insights into user behavior and market trends
• Work with stakeholders including the executive and product development teams to assist with data-related technical issues and support their data infrastructure needs
• Keep our data separated and secure across AWS regions
• Create data tools for analytics and team members that assist them in building and optimizing LandSUITE® into an innovative industry leader

Qualifications

• We are looking for a candidate with 5+ years of experience in a Data Engineer role who has attained a degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• A successful history of manipulating, processing and extracting value from large, disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience with the following software/tools:
  • Experience with relational SQL and NoSQL databases, including Postgres, MySQL, and Cassandra
  • Experience with data pipeline and workflow management tools
  • Experience with stream-processing systems
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with object-oriented/object function scripting languages: Python, Java