Data Engineer

Thompson Thrift is seeking a Data Engineer to join our corporate team! In this dynamic role, you’ll design, maintain, and enhance data architecture and infrastructure to prepare data for analysis, supporting business intelligence and decision-making. You’ll ensure that our data systems adhere to the company’s quality, process, and business standards while managing database performance, security, and functionality.Why Thompson Thrift At Thompson Thrift, we don’t just build properties; we craft communities and shape futures. Our core values drive us to positively impact our team and the communities we serve through initiatives like TT Serve, which supports community outreach and personal development. We also prioritize work-life balance with our Family Impact Program, offering flexible work options, concierge medical services, financial planning, and more to support your well-being and connections with loved ones.What You’ll Do as a Data Engineer: 

• Design, update, and maintain custom databases and data warehouses.
• Stage data for analysts and report writers to support business objectives.
• Directly assist with data analytics, including report creation and maintenance.
• Monitor, troubleshoot, and resolve issues with custom databases and systems.
• Perform database upgrades and maintain associated processes.
• Develop database strategies and models to support business solutions.
• Select and maintain database tools, standards, and methodologies.
• Collaborate with project managers, analysts, and other stakeholders to define requirements and manage project plans.
• Stay current with emerging data technologies and best practices.
• Ensure the security and compliance of database systems in collaboration with the security team.

Our Ideal Candidate: 

• Minimum Education: Bachelor’s degree in software engineering, data analytics, data science, or equivalent experience. Relevant certifications or training from coding academies are also considered.
• Minimum Experience: 4 years of experience in database development, design, and implementation.
• Expertise in relational databases and data warehouse systems, including SQL Server, Transact-SQL, and Python.
• Familiarity with cloud platforms such as AWS or Azure.
• Knowledge of Agile development methodologies and tools.
• Proficiency in tools like Microsoft SQL Server Integration Services (SSIS), Analysis Services, Reporting Services (SSRS), and Power BI.
• Exposure to AI/ML technologies and modeling is a plus.
• Strong problem-solving, organizational, and time-management skills.
• Ability to manage multiple projects simultaneously while meeting deadlines.
• Excellent communication and collaboration skills.