We have an immediate need for a Data Engineer whose primary role will be compiling comprehensive data and information on energy and commercial real estate data, and managing the back-end framework while helping the team utilize the data to create front-end visuals. This also involves architecting the back-end system to be scalable in use with web applications. Use multiple software platforms and develop and create reports and graphics to show trends and analysis for internal and external reports. The role is based in Rockwall, 10 miles east of Dallas, Texas. We are a team-first culture that involves leaning on the expertise around you, so any experience in this regard is helpful.
Analyze, automate, and prepare data for filings in certain key markets
Track, maintain and disseminate detailed data for major CRE markets, including: Leasing activity and comparables, Building and land sales activity and comparables, Ownership analysis
Utilize shape files and platforms such as Mapbox and ArcGIS and tie back to big data
Analyze and integrate large amounts of oil & gas data into our system
Building, designing required infrastructure and implementing process improvements, to optimize ETL process for various data sources.
Building data pipelines and utilizing them for drawing actionable analytical insights
Working with stakeholders including business development, marketing, and engineering teams to support their data infrastructure needs while assisting with data-related technical issues.
Participate in knowledge transfer sessions within the team and organization
Bachelor's degree in Data Science, Computer Science, or Business Intelligence
Usage and full understanding of shape files and a platform such as Mapbox or ArcGIS
Understanding of Python, C#, R and SQL
Experience with Data Factory/Data Bricks a plus
Web application building a plus
3+ years of work experience
Previous usage of Tableau or Alteryx
Strong data and analysis skills including Excel and Microsoft Office
Strong communication skills, with the proven ability to coherently ideas and opinions using the data and communicate them