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Remote Azure Data Factory Jobs in Connecticut (NOW HIRING)

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... At least 8 years of experience designing and building data-intensive solutions using distributed ...

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... Building modern cloud services on AWS, GCP, or Azure. * Backend web development, including best ...

Senior Software Engineer, Cloud

Guilford, CT · On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... Building modern cloud services on AWS, GCP, or Azure. * Backend web development, including best ...

Showing results 21-30

Remote Azure Data Factory information

What are the key skills and qualifications needed to thrive as a remote Azure Data Factory engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What is a remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.

What are the most commonly searched types of Azure Data Factory jobs in Connecticut?

The most popular types of Azure Data Factory jobs in Connecticut are:

What are popular job titles related to Remote Azure Data Factory jobs in Connecticut?

For Remote Azure Data Factory jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Factory jobs in Connecticut look for?

The top searched job categories for Remote Azure Data Factory jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Azure Data Factory jobs?

Cities in Connecticut with the most Remote Azure Data Factory job openings:

EPIC Analytics and Reporting Engineer- Project- Senior Consultant

Deloitte

Stamford, CT • On-site, Remote

$105K - $137K/yr

Full-time

Re-posted 21 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

 
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Analytics and Reporting Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals 
 
 
Work you'll Do
 
As an Analytics and Reporting Engineer you will be certified in Epic Clarity, Caboodle and either in EPIC Clinical Data Model or Revenue Data Model modules with ability to design, develop, and maintain extracts and reports within a hospital's Epic Access, has working experience in Nova notes and Epic upgrades in either Clinical Data Model or Revenue Data Model system and various healthcare information systems. Work on error handling in Epic. Experience in new Report builds like Reporting workbench, Slicer/Dicer and RADAR. Good to have experience in Azure DevOps.
 
  • Will be responsible for designing, developing, and maintaining extracts and reports within a hospital's Epic system and various healthcare information systems
  • Work on new Report builds like Reporting workbench, Slicer/Dicer and RADAR
  • Work on Epic upgrades and Nova Notes
  • This role will require to work on error handling in Epic including creating/modifications of error queues and using support utilities in Epic
  • This resource needs to work on content management activities
  • Excellent documentation skills such as - Application understanding, change management etc.
  • This resource needs to work with business stakeholders and IT team to troubleshoot Epic report issues and problems related to break-fixes and other support activities
  • Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders
  • This resource will also work with end-users to help communicate enhancements/improvements needed for business processes
  • This role provides outstanding client service and contributes to the organization's mission of utilizing information technology to improve patient care
  • Experience with healthcare domains and concepts 
  • Understanding of Agile methodologies
  • Experience with Business concepts, processes, information, and data
  • Exceptional problem-solving skills
  • Excellent written and verbal communication skills
 
 
The Team 
 
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
 

Qualifications
Required
  • Bachelor's degree, preferably in Computer Science, Information Technology,  Computer Engineering, or related IT discipline; or equivalent experience
  • Up to date EPIC Certified in Clarity, Caboodle and in either Epic Clinical Data Model or Revenue Data Model modules
  • 3-6 years of recent experience in Epic analytics and reporting enhancements, break-fixes and support activities
  • Experience with US healthcare reporting data models
  • Remote work with the ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Also, provide on-call support on a rotating basis.
 
 Preferred
  • Experience in new Report builds, Modifications and analysis on existing reports 
  • Good to have experience in data visualization tools like Tableau, Power BI, QlikSense or any other reporting tool
  • Familiarity with HIPAA and other regulations that impact hospitals and clinics preferred
  • Can operate independently or with minimum supervision
  • Excellent written and communication skills
 
 
 
 
 
 
 
 
Qualifications:
 
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Epic Analytics and Reporting Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals 
 
 
Work you'll Do
 
As an Analytics and Reporting Engineer you will be certified in Epic Clarity, Caboodle and either in EPIC Clinical Data Model or Revenue Data Model modules with ability to design, develop, and maintain extracts and reports within a hospital's Epic Access, has working experience in Nova notes and Epic upgrades in either Clinical Data Model or Revenue Data Model system and various healthcare information systems. Work on error handling in Epic. Experience in new Report builds like Reporting workbench, Slicer/Dicer and RADAR. Good to have experience in Azure DevOps.
 
  • Will be responsible for designing, developing, and maintaining extracts and reports within a hospital's Epic system and various healthcare information systems
  • Work on new Report builds like Reporting workbench, Slicer/Dicer and RADAR
  • Work on Epic upgrades and Nova Notes
  • This role will require to work on error handling in Epic including creating/modifications of error queues and using support utilities in Epic
  • This resource needs to work on content management activities
  • Excellent documentation skills such as - Application understanding, change management etc.
  • This resource needs to work with business stakeholders and IT team to troubleshoot Epic report issues and problems related to break-fixes and other support activities
  • Resolve issues or incidents reported by end users and escalate any quality issues or risks with team leads/scrum masters/project leaders
  • This resource will also work with end-users to help communicate enhancements/improvements needed for business processes
  • This role provides outstanding client service and contributes to the organization's mission of utilizing information technology to improve patient care
  • Experience with healthcare domains and concepts 
  • Understanding of Agile methodologies
  • Experience with Business concepts, processes, information, and data
  • Exceptional problem-solving skills
  • Excellent written and verbal communication skills
 
 
The Team 
 
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
 
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
 

Qualifications
Required
  • Bachelor's degree, preferably in Computer Science, Information Technology,  Computer Engineering, or related IT discipline; or equivalent experience
  • Up to date EPIC Certified in Clarity, Caboodle and in either Epic Clinical Data Model or Revenue Data Model modules
  • 3-6 years of recent experience in Epic analytics and reporting enhancements, break-fixes and support activities
  • Experience with US healthcare reporting data models
  • Remote work with the ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Also, provide on-call support on a rotating basis.
 
 Preferred
  • Experience in new Report builds, Modifications and analysis on existing reports 
  • Good to have experience in data visualization tools like Tableau, Power BI, QlikSense or any other reporting tool
  • Familiarity with HIPAA and other regulations that impact hospitals and clinics preferred
  • Can operate independently or with minimum supervision
  • Excellent written and communication skills
 
 
 
 
 
 
 
 
Education:Bachelor's DegreeEmployment Type:

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