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Remote Microsoft Azure Data Engineer Jobs in Riverside, CT

Empire State Realty Trust

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... Azure Services, Microsoft Fabric, and Semantic Models for Power BI to ensure accurate, timely, and ... Flex remote work time * Flex Summer Fridays * Employee engagement programs * Volunteer time off

Universal Music Group

Data Engineer Co-Op

New York, NY · On-site +1

$30 - $35/hr

We are offering US-Remote co-op positions in fall 2026 in the field of data engineering. How we ... Exposure to cloud platforms (e.g., Google Cloud, AWS, or Azure) is a plus * Interest in data ...

FlexStaff Commercial Temp

Azure Administrator

New York, NY · Remote

$60 - $65/hr

... Microsoft Azure environment. This role ensures the stability, security, and scalability of Azure services supporting enterprise applications, EMR systems, and data platforms. Location: Remote (Must ...

FlexStaff

Azure Administrator

Lake Success, NY · Remote

$60 - $65/hr

... Microsoft Azure environment. This role ensures the stability, security, and scalability of Azure services supporting enterprise applications, EMR systems, and data platforms. Location: Remote (Must ...

Chord Commerce

Data Engineer

New York, NY · On-site +1

$140K - $180K/yr

Our company is proudly remote-first, distributed across North America. The Opportunity * Describe the role and team the candidate will be joining As a Data Engineer, you will: * Build and maintain ...

FOCUSKPI INC

Be Seen First

Data Engineer

New York, NY · Remote

$45 - $55/hr

FocusKPI is looking for a Data Engineer to join our client's growing team and spearhead analyses ... Work Location: 100% remote and ideally able to work New York EST hours Duration: 5 months/ 40 hrs ...

FOCUSKPI INC

Be Seen First

Data Engineer

New York, NY · Remote

$45 - $55/hr

FocusKPI is looking for a Data Engineer to join our client's growing team and spearhead analyses ... Work Location: 100% remote and ideally able to work New York EST hours Duration: 5 months/ 40 hrs ...

DBI Staffing

Azure Administrator

New York, NY · Remote

$115K - $125K/yr

Must be US Citizen or GC holder we will not sponsor or work with any third parties. 100% Remote ... The Azure Administrator will collaborate with network, application, and data teams to configure ...

Civica

Senior Implementation Consultant

New York, NY · Remote

$100K - $120K/yr

This role is fully remote within the United States, with occasional domestic and international ... Strong SQL skills (T-SQL and/or PL/SQL) Experience with Microsoft Azure, including Azure Data ...

NinjaOne

Data Software Engineer

New York, NY · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Proficiency in cloud platforms like AWS, GCP, or Azure, and experience with tools like Airflow ...

LiteBridge

Data Engineer (Junior)

New York, NY · Remote

LiteBridge connects talented data engineers with global opportunities by training them in Palantir ... Flexible, remote work environment. * Placement with international clients upon certification.

Orita

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

We need a talented Data Engineer to help us handle massive amounts of data efficiently and reliably ... Familiarity with cloud platforms like AWS, GCP, or Azure, and experience deploying data solutions ...

Civica

Senior Implementation Consultant

New York, NY · Remote

$100K - $120K/yr

This role is fully remote within the United States, with occasional domestic and international ... Experience with Microsoft Azure, including Azure Data Factory and cloud-based solutions • ...

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All JobsRemote Microsoft Azure Data Engineer JobsRemote Microsoft Azure Data Engineer Jobs in Riverside, CT

Remote Microsoft Azure Data Engineer information

See Riverside, CT salary details

$47.2K

$137.5K

$188.1K

How much do remote microsoft azure data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote microsoft azure data engineer in Riverside, CT is $137,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,700.00 per year, depending on experience, location, and employer.

Will AI replace Azure Data Engineers?

Azure Data Engineers design and implement data solutions using tools like Azure Data Factory, Databricks, and SQL. While AI can automate certain tasks such as data processing and routine maintenance, the role requires expertise in architecture, problem-solving, and adapting to evolving technologies, making complete replacement unlikely in the near term.

Are Azure data engineers in demand?

Azure Data Engineers are in high demand due to the increasing adoption of cloud data solutions and the need for expertise in Azure services, data pipelines, and data management. Organizations seek professionals with skills in SQL, Python, and Azure tools like Data Factory and Synapse Analytics to support data-driven decision-making.

Is Azure data engineer discontinued?

Azure Data Engineer is a current and in-demand role focused on designing and implementing data solutions using Microsoft Azure tools like Azure Data Factory, Azure Data Lake, and Azure Synapse Analytics. The role continues to evolve with cloud technology advancements, and certifications such as Microsoft Certified: Azure Data Engineer Associate remain valuable for professionals in this field.

What is the difference between Remote Microsoft Azure Data Engineer vs Remote Data Analyst?

AspectRemote Microsoft Azure Data EngineerRemote Data Analyst
Required CredentialsAzure certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, backend systemsData reporting, visualization, business insights
Employer & Industry UsageTech, finance, healthcare, any industry using cloud data solutionsMarketing, finance, retail, any industry analyzing data for insights

The Remote Microsoft Azure Data Engineer focuses on building and maintaining data pipelines using Azure cloud services, requiring technical skills in cloud platforms and data engineering. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and provides business insights, often using visualization tools. While both roles work with data, their focus, tools, and responsibilities differ significantly.

What engineer makes $500,000 a year?

A senior or specialized data engineer, such as a Microsoft Azure Data Engineer with extensive experience and advanced certifications, can potentially earn $500,000 annually, especially in high-cost-of-living areas or within large organizations. Achieving this level typically requires a combination of technical expertise, leadership skills, and strategic responsibilities.
Remote Microsoft Azure Data Engineer jobs near you
Data Engineer

Data Engineer

Empire State Realty Trust

New York, NY • On-site, Remote

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

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 Observation Deck, ranked the #1 Top Attraction in New York City for the fifth consecutive year in Tripadvisor's 2026 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 March 31, 2026, ESRT's portfolio is comprised of approximately 8.0 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.
RESPONSIBILITIES
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
WHAT SUCCESS LOOKS LIKE
  • 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
REQUIRED TECHNICAL SKILLS / ABILITIES
  • 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
EDUCATION & EXPERIENCE
  • 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 preferred
  • Proven experience managing data pipelines, AI integrations, and enterprise analytics environments
  • Exposure to real estate, REIT, or property technology environments preferred
PHYSICAL REQUIREMENTS
  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift up to 15 pounds at times
WHAT YOU CAN EXPECT
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
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
WELL-BEING
  • 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
$135,000 - $145,000 a year
Salary is based on several factors including but not limited to education, work experience, job location, size of property where applicable, and/or certifications. In addition to your base salary, ESRT provides discretionary annual bonuses.
ESRT is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because they drive curiosity, innovation, and the success of our business. We do not discriminate based on race, religion, color, creed, national origin, sex, sexual orientation, gender identity or expression, reproductive choices, age, marital status, veteran status, disability status, pregnancy, parental status, caregiver status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. This policy applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignments, benefits, layoff, and termination. Reasonable accommodations that do not create an undue hardship for the Company are available for applicants and employees with disabilities or sincerely held religious beliefs.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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