Data Engineer

at  Toll Brothers

QUALIFICATIONS

Does this describe you?

• Work independently to solve complex data issues
• Communicate and present results effectively to clients
• Learn new systems and skills quickly
• Function as productive part of a team when required
• Share knowledge and train others as needed

Do you have these qualifications?

• Essential:
• Proven experience as a .NET Developer or Application Developer
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
• 3+ years of experience with technical data architectures, ETL/ ELT, reporting/analytic tools and,
• Advanced knowledge and expertise with data modelling skills
• Advanced SQL skills in working with relational data
• Solid understanding of algorithms, data structures, and data pipelines
• Bachelor’s degree or higher in an engineering or technical field such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar or equivalent combination of education and experience
• Beneficial
• Experience with Qlik/Tableau BI platforms preferred
• Experience with web analytics tools like Google Analytics
• Experience with Azure/Snowflake data platforms preferred
• Knowledge of home building or finance industry a plus
• Knowledge of JAVA script and R/Python programming
• Knowledge of .NET suite of enterprise applications

We offer an excellent compensation and benefits package that includes comprehensive medical/dental, 401(k) with a company match, discounted stock purchase, discounts on mortgages, homes, and much more!

• Design, code, test, debug and document programs as well as support activities for enterprise applications.
• Participate in requirements analysis
• Communicate cross-functionally; feeding information and results across the business
• Collaborate with application developers, product managers and business analysts to understand the requirements and translate them into design specifications and code
• Test and deploy applications and systems
• Revise, update, refactor and debug code
• Produce scalable, replicable code and engineering solutions that help automate repetitive data management
• Design, implement, test, deploy, and maintain stable, secure, and scalable solutions and data pipelines in support of data and analytics projects, including creating new sources of data and moving data out to
• Developing applications that meet both the code quality and security standards of the enterprise
• Align data architecture with business
• Ensure that the solution can be successfully integrated into the overall application/system.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data source