Sr Software Engineer, Data & Analytics Products

Overview

Equity Residential (NYSE:

EQR) is a leading multi-family REIT with premier apartment communities in top urban markets across the U.S. We’re committed to innovation, exceptional service, and a collaborative culture where employees can make an impact and help residents Live Remarkably.

The Senior Software Engineer – Data & Analytics Products serves as a key technical leader in advancing the design and development of enterprise-grade applications that extend the company’s analytical and data science capabilities. This role bridges the gap between modern software engineering and data-driven innovation—building, unifying, and scaling internal products that transform analytical insights into operational decision tools. Collaborating closely with members of the Data & Analytics (DNA) team, this individual defines architectural standards, mentors engineers transitioning from data-focused development to full-stack product engineering, and delivers robust, user-facing systems that integrate seamlessly within Equity Residential’s broader technology ecosystem.

Please note: Our current onsite work schedule requires attendance from Monday through Thursday each week, with remote work permitted on Fridays.

• A Product-Minded Builder:You love turning ideas into polished, reliable applications. You thrive in ambiguous environments where the path isn’t fully defined, and you enjoy shaping engineering structure out of complexity. You take pride in building tools that feel professional, scale well, and make users’ lives meaningfully easier.
• Full-Stack and Pragmatic:You’re comfortable moving across the stack — designing thoughtful front-end interactions, building clean backend services, and integrating with data platforms. You pair strong engineering fundamentals with the judgment to choose the right solution for the problem, balancing speed, maintainability, and clarity.
• User-Centered and Business-Aware:You care about the “why” behind what you build. You ask sharp questions, seek to understand the workflows and pain points of end users, and shape features that clearly tie back to the business outcome. You translate technical possibilities into intuitive experiences.
• Quality-Focused: You value craftsmanship — readable code, sound architecture, thoughtful interfaces, and smooth deployments. You set a high bar for reliability and security, and you take ownership of your systems in production.
• Collaborative and Supportive:You work well with data scientists, data engineers, and analysts to operationalize models and insights. You communicate clearly, share knowledge freely, and help elevate the team’s engineering maturity through mentorship and constructive design discussions.
• Execution-Oriented:You move quickly, iterate responsibly, and take ownership from concept to delivery. You enjoy being hands-on and accountable for the product’s success, and you care deeply about building something that lasts.

• Lead the design and implementation
  of scalable, maintainable web applications that operationalize data science and analytics products.
• Define technical architecture and standards for front-end and back-end systems
  supporting data products and analytical tools.
• Collaborate with data scientists, analysts, and business stakeholders to translate analytical models into usable, intuitive applications.
• Develop APIs and application services that integrate with core data platforms
  (Snowflake, Databricks, Azure) and operational systems.
• Establish best practices for code quality
  , CI/CD, and secure deployment of production systems.
• Mentor data engineers and other technical contributors in full-stack development, software design, and product engineering principles.
• Partner with cloud and enterprise engineering teams to ensure applications are performant, reliable, and cost-effective at scale.
• Participate in product planning and roadmap discussions to align technical execution with business objectives.
• Continuously evaluate new technologies and frameworks
  to strengthen the team’s development capabilities and accelerate delivery.

• Bachelor’s or Master’s degree in Computer Science, Software…