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Fabric Data Engineer Jobs in Connecticut (NOW HIRING)

Microsoft Fabric - L55 - Fabric Architect/Engineer Join our AI & Engineering team in transforming ... Work You'll Do As a Lead Data Engineer II on the AI & Data team, you will be responsible for ...

Microsoft Fabric - L55 - Fabric Architect/Engineer Join our AI & Engineering team in transforming ... Work You'll Do As a Lead Data Engineer II on the AI & Data team, you will be responsible for ...

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

Working primarily in Microsoft Fabric, you will engineer end-to-end data flows (ingestion, transformation, and modeling) and deliver high-impact Power BI dashboards and semantic models that support ...

Sr. Engineer, Data & Analytics

Stamford, CT · On-site +1

$100K - $125K/yr

Working primarily in Microsoft Fabric, you will engineer end-to-end data flows (ingestion, transformation, and modeling) and deliver high-impact Power BI dashboards and semantic models that support ...

Oversee development of Delta Live Tables, batch and streaming pipelines, and feature engineering workflows across Databricks and Microsoft Fabric. * Architect and deliver a self-service data platform ...

Tableau Developer Location: Hartford, Connecticut Work Mode: Hybrid - 80% Remote / 20% Onsite ... Azure Data Factory, MuleSoft Runtime Fabric, MuleSoft integrations, Salesforce reporting, and ...

... urban fabric of communities, this opportunity is for you. We are looking for candidates with the ... Prepares and issues specifications, data sheets, and other construction documents. * Provides ...

Support Data Servicing with the Microsoft Power Platform including Power BI. What you bring * BA/BS ... Knowledge of Databricks, Microsoft Fabric, Azure Services, and cloud-native technologies * Exposure ...

AI Solutions Engineer

Stamford, CT · On-site

$97K - $146K/yr

Support Data Servicing with the Microsoft Power Platform including Power BI. What you bring * BA/BS ... Knowledge of Databricks, Microsoft Fabric, Azure Services, and cloud-native technologies * Exposure ...

AI Solutions Engineer

Stamford, CT · On-site

$97 - $146/hr

Support Data Servicing with the Microsoft Power Platform including Power BI. What you bring * BA/BS ... Knowledge of Databricks, Microsoft Fabric, Azure Services, and cloud-native technologies * Exposure ...

Cloud Developer

East Hartford, CT

$55.50 - $75.75/hr

You'll work at the intersection of business, data, and technology-partnering directly with teams ... Familiarity with Azure, Dataverse, and Microsoft Fabric * Interest or experience in AI, automation ...

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Showing results 1-20

Fabric Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do fabric data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for fabric data engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

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

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

What is the difference between Fabric Data Engineer vs Fabric Data Analyst?

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Fabric Data Engineer jobs in Connecticut?

For Fabric Data Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Fabric Data Engineer jobs in Connecticut look for?

The top searched job categories for Fabric Data Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Fabric Data Engineer jobs?

Cities in Connecticut with the most Fabric Data Engineer job openings:

Infographic showing various Fabric Data Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

Fabric Architect

Deloitte

Stamford, CT • Hybrid

Full-time

Posted 5 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

Microsoft Fabric - L55 - Fabric Architect/Engineer

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.

Recruiting for this role ends on 9/19/26.

Work You'll Do

As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of modern data and analytics solutions for client engagements. In this role, you will bring genuine, hands-on, lived-in experience leading Microsoft Fabric implementation and migration engagements - spanning Lakehouse, Warehouse, and OneLake - applying practical, proven strategies to deliver scalable, production-grade unified data platforms.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations across industries
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development and deal shaping, thought leadership and AI-driven accelerators, and coaching junior practitioners
  • Lead delivery of Microsoft Fabric implementation and migration engagements, applying practical, proven architecture and migration patterns across Lakehouse, Warehouse, and OneLake workloads
  • Own hands-on build of the Fabric environment and its unified data platform end-to-end across workloads, translating architecture decisions and recommendations into scalable, flexible, working implementations
  • Design and build out medallion (bronze/silver/gold) layers in Fabric, and implement role-based access control and data classification definitions
  • Stand up ETL/pipeline work using Spark Notebooks, Dataflow Gen2, Fabric Data Factory with close attention to lineage preservation
  • Advise across the full breadth of Fabric architecture - workspace organization/structure, CI/CD, data protection planes and best practices, capacity management, backup/DR strategy, and guidance on best fit Fabric items
  • Stay current with evolving data and analytics technology platform capabilities, proactively evaluating and applying new capabilities to client solutions

Qualifications

Required:

  • 6+ years experience with relevant technology project experience in data architecture, data engineering, enterprise architecture, or a related discipline
  • 3+ years hands-on experience architecting and delivering end-to-end Microsoft Fabric-based solutions, including lakehouse and warehouse implementations built on Delta Lake table formats, medallion architectures, ingestion pipelines, semantic models, and governance frameworks
  • Experience implementing Fabric governance and security constructs, including role-based access control (RBAC), data classification, data protection best practices, and integration with Microsoft Purview for enterprise data governance
  • Experience with dimensional modeling and star schema design in support of semantic models and BI reporting
  • Working understanding of the latest Microsoft Fabric platform capabilities - such as Fabric IQ, Ontology, Graph, and Real-Time Intelligence - and how to apply them to deliver business value, including grounding agentic AI experiences in enterprise semantic and ontology layers
  • Experience building ETL/pipeline solutions using Fabric Notebooks and/or Dataflow Gen2, with attention to data lineage preservation, and with dbt for transformation orchestration and modeling workflows
  • Experience with Fabric platform architecture, including workspace organization/structure, CI/CD and deployment pipelines (e.g., Fabric Git integration and deployment pipelines across dev/test/prod), capacity management, and backup/DR strategy
  • Experience supporting deal pursuit and shaping activities, including defining architecture, migration patterns, and implementation approaches
  • 4+ years hands-on experience with SQL/T-SQL and Python, including PySpark/Spark SQL for data transformation and analytics modeling, with working knowledge of REST API-based data ingestion and CI/CD practices (e.g., Azure DevOps, GitHub)
  • 4+ years experience leading, managing and delivering complex AI&Data solutions engagements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience with Databricks, Snowflake, Google BigQuery and Redshift
  • Experience in consulting and client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting technical content to both large and small audiences
This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document Benefit Plan Core/Domain : USBenefitsJourneyCDandETAM

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,000 to $253,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Microsoft Fabric - L55 - Fabric Architect/Engineer

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.

Recruiting for this role ends on 9/19/26.

Work You'll Do

As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of modern data and analytics solutions for client engagements. In this role, you will bring genuine, hands-on, lived-in experience leading Microsoft Fabric implementation and migration engagements - spanning Lakehouse, Warehouse, and OneLake - applying practical, proven strategies to deliver scalable, production-grade unified data platforms.

  • Lead small engagements or key workstreams within large, complex data and analytics transformations across industries
  • Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
  • Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
  • Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
  • Support practice growth through proposal development and deal shaping, thought leadership and AI-driven accelerators, and coaching junior practitioners
  • Lead delivery of Microsoft Fabric implementation and migration engagements, applying practical, proven architecture and migration patterns across Lakehouse, Warehouse, and OneLake workloads
  • Own hands-on build of the Fabric environment and its unified data platform end-to-end across workloads, translating architecture decisions and recommendations into scalable, flexible, working implementations
  • Design and build out medallion (bronze/silver/gold) layers in Fabric, and implement role-based access control and data classification definitions
  • Stand up ETL/pipeline work using Spark Notebooks, Dataflow Gen2, Fabric Data Factory with close attention to lineage preservation
  • Advise across the full breadth of Fabric architecture - workspace organization/structure, CI/CD, data protection planes and best practices, capacity management, backup/DR strategy, and guidance on best fit Fabric items
  • Stay current with evolving data and analytics technology platform capabilities, proactively evaluating and applying new capabilities to client solutions

Qualifications

Required:

  • 6+ years experience with relevant technology project experience in data architecture, data engineering, enterprise architecture, or a related discipline
  • 3+ years hands-on experience architecting and delivering end-to-end Microsoft Fabric-based solutions, including lakehouse and warehouse implementations built on Delta Lake table formats, medallion architectures, ingestion pipelines, semantic models, and governance frameworks
  • Experience implementing Fabric governance and security constructs, including role-based access control (RBAC), data classification, data protection best practices, and integration with Microsoft Purview for enterprise data governance
  • Experience with dimensional modeling and star schema design in support of semantic models and BI reporting
  • Working understanding of the latest Microsoft Fabric platform capabilities - such as Fabric IQ, Ontology, Graph, and Real-Time Intelligence - and how to apply them to deliver business value, including grounding agentic AI experiences in enterprise semantic and ontology layers
  • Experience building ETL/pipeline solutions using Fabric Notebooks and/or Dataflow Gen2, with attention to data lineage preservation, and with dbt for transformation orchestration and modeling workflows
  • Experience with Fabric platform architecture, including workspace organization/structure, CI/CD and deployment pipelines (e.g., Fabric Git integration and deployment pipelines across dev/test/prod), capacity management, and backup/DR strategy
  • Experience supporting deal pursuit and shaping activities, including defining architecture, migration patterns, and implementation approaches
  • 4+ years hands-on experience with SQL/T-SQL and Python, including PySpark/Spark SQL for data transformation and analytics modeling, with working knowledge of REST API-based data ingestion and CI/CD practices (e.g., Azure DevOps, GitHub)
  • 4+ years experience leading, managing and delivering complex AI&Data solutions engagements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field
  • Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • Experience with Databricks, Snowflake, Google BigQuery and Redshift
  • Experience in consulting and client-facing delivery roles
  • Experience in creating critical collaterals for client workshops and customer interactive sessions
  • Experience presenting technical content to both large and small audiences
This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document Benefit Plan Core/Domain : USBenefitsJourneyCDandETAM

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,000 to $253,000.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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