Senior Data Engineer

As a Senior Data Engineer, you will apply advanced technical knowledge and enterprise-focused thinking using AI and automation to achieve strategic enterprise objectives. You’ll serve as a technical leader who coaches team members, influences business and regulatory requirements, and drives AI-powered solutions that deliver measurable organizational value.

In this role, you’ll identify innovative reusable solutions, investigate complex technical challenges, and develop strategic data solutions with a cross-functional perspective. You’ll create advanced automated frameworks, design platform features, and use storytelling techniques to build consensus across diverse stakeholder groups while significantly impacting our Data Engineering strategy.

Responsibilities:

Advanced Technical Leadership

• Design and build advanced reusable and automated frameworks for enterprise-scale data processing
• Architect platform features with comprehensive cross-functional view and strategic alignment
• Develop AI-powered solutions that drive measurable business outcomes
• Lead complex problem-solving initiatives and root cause analysis for critical systems

• Create comprehensive data solutions that align with enterprise objectives and strategic goals
• Design and implement data modeling using relational and star schema architectures
• Build full-stack data solutions integrating multiple Azure services and cloud technologies
• Drive innovation in data processing, storage, and analytics capabilities

• Mentor junior and intermediate data engineers on advanced technical concepts and best practices
• Influence business and regulatory requirements through technical expertise and strategic recommendations
• Use storytelling and data visualization to build consensus across organizational levels
• Lead technical decision-making for complex data architecture and implementation choices

• Drive organizational value through strategic data engineering initiatives and AI implementation
• Impact Data Engineering strategy through thought leadership and technical innovation
• Collaborate with senior stakeholders to align technical solutions with business strategy
• Champion data engineering best practices and standards across the organization

Experience & Education

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline; Master’s degree preferred
• 5-8 years of experience in data engineering with proven track record of technical leadership
• Demonstrated experience building enterprise-scale data solutions and frameworks
• Experience mentoring engineers and influencing technical strategy

• Advanced Programming: Expert Python skills including inheritance, reflection, meta-programming, and advanced design patterns
• Full-Stack Capabilities: Comprehensive understanding of end-to-end data solution development
• Big Data & Streaming: Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts
• Azure Services: Deep proficiency in Azure data services (Databricks, Azure Functions, Event Hubs), architecture, and cloud-native solutions
• Data Modeling: Advanced expertise in relational database design, star schema modeling, and data warehousing concepts
• AI/Automation: Proven experience implementing AI-powered solutions and automation frameworks at enterprise scale
• Architecture: Strong system design and architecture skills for complex data solutions and microservices

• Technical Skills (35%): Full-stack development, Azure proficiency, data modeling expertise, AI solution implementation
• Problem-Solving (30%): Framework development, AI solution ownership, platform feature design, complex system debugging
• Communication (20%): Mentoring experience, technical leadership examples, strategy contributions, consensus building
• Learning & Growth (15%): Enterprise project experience, AI expertise, process improvement track record

You’ll join a senior technical team where you’ll lead innovative data engineering initiatives that incorporate cutting-edge AI and automation technologies. We provide opportunities for technical leadership, strategic influence, and career advancement while working on enterprise-scale challenges that shape the future of real estate technology.

Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay.

Join us to lead technical innovation while mentoring the next generation of data engineers and driving AI-powered solutions that transform how enterprise real estate decisions are made.