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Azure Data Engineering Jobs in Connecticut (NOW HIRING)

Azure/Databricks Infrastructure Engineer

Hartford, CT · On-site

$56.25 - $75.25/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Azure/Databricks Infrastructure Engineer

Stamford, CT · On-site

$59.50 - $79.50/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Governance- Manager

Stamford, CT · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Senior Data Engineer with Pyspark

Rocky Hill, CT · On-site

$109K - $131K/yr

As a key member of our data engineering team , you will play a crucial role in designing, building ... Experience working with cloud-based data storage and processing technologies (AWS, GCP, or Azure)

Tableau Developer Location: Hartford, Connecticut Work Mode: Hybrid - 80% Remote / 20% Onsite ... Support Azure Data Factory pipelines, data loads, data quality issues, and root cause analysis

Azure Databricks Admin

Hartford, CT · On-site

$55.50 - $68.75/hr

... Data Engineering|Databricks Technical Skills 2 Technology|AI Engineering|Databricks AI Engineering ... Preferred Skill and Experience Experience in Azure/AWS big data & analytics technologies, including ...

Data Architect

Windsor, CT · On-site

$63.25 - $81.50/hr

Ensure alignment with enterprise security and compliance standards Required Skills & Experience: * 10+ years in data architecture and engineering * Strong experience with cloud (AWS/Azure/Google ...

Senior Data Engineer

Hartford, CT · On-site

$106K - $145K/yr

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to ... Azure Event Hubs, Azure Functions, Kafka, Spark Streaming) * 1+ year(s) of soliciting complex ...

Sr .NET Developer

Hartford, CT · On-site

$55.50 - $68.75/hr

Work with Azure SQL databases to design schema, implement stored procedures, and optimize performance. * Collaborate with data engineers on SSIS-based ETL processes and data migration activities.

Sr .NET Developer

Hartford, CT · On-site

$55.50 - $68.75/hr

Work with Azure SQL databases to design schema, implement stored procedures, and optimize performance. * Collaborate with data engineers on SSIS-based ETL processes and data migration activities.

Senior Data Architect

Windsor, CT · On-site

$66.75 - $89.50/hr

... engineering Strong experience with cloud (AWS/Azure/Google Cloud Platform) Deep data modeling & warehousing experience Experience working directly with business teams Strong MDM, governance, and ...

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Showing results 41-60

Azure Data Engineering information

What is the salary of Azure Data Engineer in Azure?

The average salary for an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Entry-level positions may start lower, while experienced professionals with advanced skills can earn higher salaries.

Is Azure Data Engineer in demand?

Azure Data Engineer roles are in high demand due to the increasing adoption of cloud data solutions and the need for managing large-scale data pipelines using tools like Azure Data Factory, Databricks, and Synapse Analytics. Employers seek professionals with skills in cloud platforms, data modeling, and SQL, and certifications such as Microsoft Certified: Azure Data Engineer Associate can enhance job prospects.
What cities in Connecticut are hiring for Azure Data Engineering jobs? Cities in Connecticut with the most Azure Data Engineering job openings:
Infographic showing various Azure Data Engineering job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, 3% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Azure/Databricks Infrastructure Engineer

Deloitte

Hartford, CT • On-site

$56.25 - $75.25/hr

Other

Re-posted 16 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 08/7/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 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 supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

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 $116,200 to $229,100.

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:

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 08/7/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 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 supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

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 $116,200 to $229,100.

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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