Senior Software Engineer, Data & Analytics Products

Senior Software Engineer, Data & Analytics Products

Company 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.

Role

Summary:

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.

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

• Builder and Problem Solver: You thrive in ambiguous environments, shaping structure out of complexity. You’re motivated by solving hard, high‑impact problems — from modeling resident behavior to optimizing pricing systems — and take pride in seeing your work move from prototype to production.
• Scientifically Rigorous and Pragmatic: You pair strong statistical and machine learning foundations with the judgment to choose the right level of complexity. You care about sound experimentation and model validity but know that elegant, deployable solutions matter most.
• Business‑Curious and Insight‑Driven: You’re as comfortable digging into the data as you are discussing trade‑offs with business leaders. You ask sharp questions, produce clear narratives, and connect analytical outcomes to decisions that drive measurable results.
• Results‑Driven: You are committed to achieving high standards, continually driving improvements and fostering a culture of excellence.
• Collaborative and Technical Mentor: You enjoy working alongside data engineers and analysts to bring models to life, and you naturally elevate those around you — sharing code practices, explaining modeling choices, and helping others see the “why” behind the work.
• Execution‑Focused: You move fast, communicate clearly, and take ownership from research through deployment. You care about impact, not just analysis.

• 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 Engineering, or related discipline.
• 5–8+ years of experience in full‑stack or software engineering roles.
• Proficiency in modern web frameworks (e.g., React, Vue, or similar) and backend frameworks (e.g., FastAPI, Flask, or similar Python‑based…