Data Engineering Intern assisting with data projects and cloud solutions at Simmons Bank. Collaborating on data pipelines and gaining exposure to modern data engineering concepts.
About the role
- Data Engineer designing and building AI and automation initiatives for Empire State Realty Trust. Collaborating with various teams to deliver scalable data and AI solutions.
Responsibilities
- 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
- 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
- Build and maintain integrations between applications, databases, and cloud platforms using APIs, middleware, and native connectors (e.g., REST/GraphQL API)
- 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
- 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
Requirements
- 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
- 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
- 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
- Commitment to ethical, secure, and responsible data and AI practices.
Benefits
- 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
- Generous paid time off
- Flex remote work time
- Flex Summer Fridays
- Employee engagement programs
- Volunteer time off
- Continuing education
- Complimentary Empire State Building Observatory access
- Complimentary gym membership and other wellness benefits
- Employee Discount Programs
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Engineer building and scaling client - facing Microsoft Fabric analytics platform to drive revenue and decision - making. Collaborating with teams to develop pipelines, optimize performance, and ensure client satisfaction.
Data Engineer role focusing on migrating legacy systems to ADA at BBVA. Collaborate with multidisciplinary teams and ensure system integrity during transitions.
Senior Data Engineer focused on modernizing enterprise data capabilities at U.S. Bank. Designing and building reusable data engineering patterns for consistent delivery across teams.
Experienced Data Architect designing and implementing scalable data architecture for a financial services and healthcare technology company. Collaborating across teams to support analytics and operational needs.
Principal Data Pipeline Lead at SS&C overseeing development of scalable data pipelines. Leading a small team and providing technical guidance for modern data platform integration.
Senior Data Engineer at SS&C building and optimizing data pipelines in a lakehouse environment. Collaborating with data architects and stakeholders in the financial services sector.
Data Architect designing scalable, secure data architectures for fraud detection and risk management at Fiserv. Collaborating with cross - functional teams and managing large datasets and pipelines.
Director of Engineering overseeing development of AI - driven data platforms at LVT. Leading teams to transform sensor data into actionable insights using modern architecture and technologies.
Senior Data Engineer at Independence Pet Holdings shaping data ecosystem by building platforms and pipelines. Collaborating with teams to enhance data analytics and operational insights.