Esrtreit2mo ago

USD 135000–145000/yr

Data Engineer

New YorkFull Timemid

Data EngineeringData EngineerData & AI

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Requirements Summary

Maintain clear and up-to-date documentation for technical specifications, data flows, integration architecture, and AI models Enforce compliance with data security, access control,

Technical Tools

Data EngineeringData EngineerData & AI

COMPANY SUMMARY

Empire State Realty Trust, Inc. (NYSE: ESRT) is a NYC-focused REIT that owns and operates a portfolio of well-leased, top of tier, modernized, amenitized, and well-located office, retail, and multifamily assets. ESRT’s flagship Empire State Building, the “World's Most Famous Building,” features its iconic Observatory, ranked the #1 Top Attraction in New York City for the fourth consecutive year in Tripadvisor’s 2025 Travelers’ Choice Awards: Best of the Best Things to Do. The Company is a recognized leader in energy efficiency and indoor environmental quality. As of December 31, 2025, ESRT’s portfolio is comprised of approximately 7.9 million rentable square feet of office space, 0.8 million rentable square feet of retail space and 743 residential units. More information about Empire State Realty Trust can be found at esrtreit.com and by following ESRT on Facebook, Instagram, TikTok, X and LinkedIn.

The dedicated team at ESRT is a collection of diverse individuals with a shared passion for excellence and a keen eye toward future growth. Headquartered in New York City, we harness the energy of the city in everything we do. We care for one another, work hard, and have a lot of fun doing it! We are Certified™ as a Great Place to Work® by the global authority, Great Place to Work®, on workplace culture, employee experience, and leadership behaviors. We prioritize and invest in the health and wellness of employees to attract, develop, and retain top-tier talent. ESRT values continuous employee development and encourages colleagues to excel in their roles and adapt to emerging business needs. From our crown jewel, The Empire State Building, to incredible buildings modernized for the 21st century, to outstanding customer service, and our decade-long leadership position in sustainability and energy efficient portfolio that is 100% fully powered by renewable wind electricity, we take pride in our work. ESRT seeks an equally passionate colleague to join the team, understand the vision and help achieve that vision.

POSITION SUMMARY

The Data Engineer will be responsible for designing, building, and supporting enterprise-wide AI and automation initiatives that improve and drive business efficiency, insight, and innovation. This role blends technical expertise in data engineering and AI integration, back-end development and automation with hands-on collaboration across business, analytics, and IT teams.

Reporting to the Director of Application & Development, this position will support and enhance initiatives involving Informatica data pipelines, API integrations, Lakehouse data architecture, and AI-driven capabilities—including model deployment, virtual assistants, and workflow automation. This position works closely with business, analytics, and IT teams to deliver scalable, high-quality data and AI solutions across ESRT’s corporate and property operations.

AI AND AUTOMATION DEVELOPMENT:

Design, build, and deploy AI-driven solutions using Python, APIs, and enterprise platforms (e.g., ChatGPT, Agentforce, internal automation tools, Agentic AI Assistance)

Partner with business and analytics teams to identify and prioritize automation opportunities that streamline workflows and enhance decision-making

Integrate AI capabilities into existing enterprise systems and applications to improve operational efficiency

DATA LAKE AND INFORMATICA MANAGEMENT:

Develop, maintain, and optimize data pipeline, ETL workflows and integrations using Informatica, Azure Services, Microsoft Fabric, and Semantic Models for Power BI to ensure accurate, timely, and reliable data ingestion and transformation

Manage the enterprise Data Lake Architecture to support analytics, reporting, and AI model training, including ingestion, transformation, and overall data management

Uphold data governance standards, including lineage tracking, data quality, and documentation

Working knowledge of the Medallion Data Architecture

INTEGRATION ENGINEERING:

Build and maintain integrations between applications, databases, and cloud platforms using APIs, middleware, and native connectors (e.g., REST/GraphQL API)

Optimize data flow between operational, analytical, and AI systems to ensure scalability, performance, and security

Collaborate with IT and application teams to standardize integration patterns and enforce governance

REPORTING AND ANALYTICS ENABLEMENT:

Curate and publish high-quality datasets for analytics and visualization tools such as Power BI, including developing and maintaining semantic models and enterprise data schemas

Partner with business stakeholders to translate requirements into actionable data models and AI workflows

Enable self-service analytics and enhance business intelligence capabilities across the enterprise

GOVERNANCE, SECURITY, & DOCUMENTATION:

Maintain clear and up-to-date documentation for technical specifications, data flows, integration architecture, and AI models

Enforce compliance with data security, access control, and governance frameworks

Implement monitoring and alerting for data quality, pipeline performance, and AI model accuracy

Adhere to Project Management Office (PMO) best practices

Support overall data governance, privacy, cybersecurity, and responsible AI practices

Drive enterprise-wide applications to operate within a cohesive, data-driven framework that advances company-wide goals, with a focus on leasing space, selling Observatory tickets, and enhancing shareholder value, while delivering projects on time and on budget

Integrate cutting-edge platforms, AI, and advanced analytics to fuel strategic decision-making and measurable business impact

Embed seamless AI and data workflows into enterprise systems to improve operational efficiency, automation, and insight generation

Establish reliable, well-governed data pipelines and integrations that power analytics, reporting, and scalable automation

Enable enhanced decision-making across departments by delivering high-quality, trusted data and embedded intelligence

Foster collaboration, accountability, and a culture of innovation that aligns technology solutions directly with business outcomes

Strong proficiency in Informatica, SQL, Python, and Power BI

Experience with AI/ML frameworks, LLM-based tools, and cloud platforms (e.g., Azure, AWS, or GCP)

Hands-on experience developing and maintaining API integrations

Strong understanding of data governance, lineage, and security best practices

Excellent analytical, organizational, and communication skills

Ability to collaborate across teams and translate technical concepts into business value

Deep expertise in enterprise architecture, complex application design, AI integration, advanced analytics, and emerging technologies to deliver scalable, secure, and innovative solutions

Demonstrate deep, active listing to better understand another’s motivations, reality, and perspectives

Strong organizational skills: ability to prioritize work and meet deadlines in a fast-paced environment

Excellent written and verbal communication skills, adept at conveying complex technical concepts to diverse audiences and building trust with both technical and non-technical stakeholders

Dedication to refining development practices, adopting industry best practices, and driving sustainable organizational scalability

Development of SMART goals, followed by the timely execution of deliverables aligned with our IT roadmap which will be measure of employee and team success

Commitment to ethical, secure, and responsible data and AI practices

Bachelor’s degree in computer science, data engineering, data science, information systems, or related fields

5–8 years of experience in data integration, analytics, or related fields 5+ years of ticketing / attraction focused experience

Proven experience managing data pipelines, AI integrations, and enterprise analytics environments

Exposure to real estate, REIT, or property technology environments preferred

Prolonged periods of sitting at a desk and working on a computer

Must be able to lift up to 15 pounds at times

At ESRT, like our tenants, our employees come from everywhere. We foster a collaborative work environment that captures top talent and cultivates the best ideas. As a Great Place to Work® Certified employer, we are committed to maintaining our positive work culture where employees are engaged and can grow and develop. In addition, ESRT employees embody our Company Culture & Success Factors -

Adaptable – you are a self-starter who’s able to quickly digest and execute new processes to work both collaboratively and independently

Dynamic – you are solutions-oriented, aim to improve processes and implement efficiency, and offer insightful feedback to improve ESRT

Dependable – you take a strong sense of ownership and accountability over your work

Passionate – you keep up with industry trends and are excited about the potential to propel the industry forward with a “roll-up-your-sleeves” attitude

Curious – you consistently look for new ways to work smarter, not just harder

Ethical – you treat others with respect, act with integrity in how you perform your work, and embrace our collaborative culture

Positive – you possess a service-oriented attitude with excellent follow through

Competitive base salary and bonus

Health/Dental/Vision insurance

Company sponsored Life, AD&D, STD (with Salary Continuation), and LTD Insurance

Voluntary Enhanced LTD Program

Voluntary Hospital, Accident, and Cancer Programs

401(k) with 100% match up to 5%

Paid parental leave

Pre-tax transit accounts

Employee Assistance Program for emotional, financial, and legal support