Sr Software Engineer, Data & Analytics Products
About The Position
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.
Requirements
- 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 systems).
- Strong command of Python and JavaScript/TypeScript.
- Experience developing APIs and microservices within cloud environments (Azure preferred).
- Experience with CI/CD pipelines, containerization, and cloud-native deployment.
- Proven ability to design and maintain secure, reliable, and scalable systems.
- Demonstrated leadership in technical mentorship and architecture design.
- Effective communication and collaboration skills, with the ability to work across data, engineering, and business teams.
- Adaptability to learn new technologies and frameworks as the product landscape evolves.
Nice To Haves
- Familiarity with data-oriented technologies such as Snowflake, Databricks, or similar platforms is a plus
Responsibilities
- 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.
Benefits
- Physical Wellbeing: Medical, dental, vision care and wellness programs
- Social Wellbeing: Paid holidays, annual vacation time, paid sick leave, new parent benefits, adoption assistance
- Financial Wellbeing: Competitive Compensation, 401(k) Retirement Savings Plan, Rent Discounts, FSA/HSA, and company-paid life & disability insurance
- Community Wellbeing: Paid Community Service Hours
- Career Wellbeing: Leadership Development, Tuition Assistance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees
