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Azure Data Engineer Jobs in Manchester, CT (NOW HIRING)

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

Data Engineer - Senior Associate

Hartford, CT ยท On-site

$77K - $202K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

DATA Engineer

East Hartford, CT ยท On-site

$113K - $136K/yr

Mentor junior engineers and conduct code reviews to uphold engineering best practices * Partner ... Hands-on with orchestration tools such as Apache Airflow , Databricks Workflows , or Azure Data ...

Data Engineer - Senior Manager

Hartford, CT ยท On-site

$124K - $280K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Net Lead Developer - Azure

Farmington, CT ยท On-site

$58.25 - $72.50/hr

Implementing data storage solutions integrating databases and using Azure data services for ... Knowledge in Azure Devops CICD pipelines * Good in front end technologies like Jquery Javascript ...

Senior Data Engineer

Hartford, CT ยท Hybrid

$106K - $145K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

Data Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

Data Engineer Location: Hartford, CT Onsite position Fulltime position JD: Required Skills ... AWS, Azure, or GCP). โ€ข Strong problem-solving skills and ability to work in a fast-paced ...

Data Strategy-Manager

Hartford, CT ยท 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 ...

Data Governance- Manager

Hartford, CT ยท 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 ...

developer (azure sql)

Hartford, CT ยท On-site

$55.50 - $68.75/hr

NET MVC, Entity Framework, and Azure App Service. Contribute to CI/CD pipeline setup and ... Collaborate with data engineers on SSIS-based ETL processes and data migration activities.

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

Sr Data Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

Role: Sr Data Engineer Location: Hartford, CT Onsite position Fulltime Position TCS/Hartford JD ... Experience working with cloud-based data solutions (AWS, Azure, or GCP). * Strong problem-solving ...

developer (azure sql)

Hartford, CT ยท On-site

$55.50 - $68.75/hr

NET MVC, Entity Framework, and Azure App Service. Contribute to CI/CD pipeline setup and ... Collaborate with data engineers on SSIS-based ETL processes and data migration activities.

Senior Data Engineer

Hartford, CT ยท On-site

$106K - $145K/yr

As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining ... Azure Event Hubs, Azure Functions, Kafka, Spark Streaming) * 1+ year(s) of soliciting complex ...

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Showing results 1-20

Azure Data Engineer information

See Manchester, CT salary details

$44.9K

$131K

$179.3K

How much do azure data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for azure data engineer in Manchester, CT is $131,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,900.00 per year, depending on experience, location, and employer.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.
Infographic showing various Azure Data Engineer job openings in Manchester, CT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $131,013 per year, or $63 per hour.

$115K - $138K/yr

Contractor

Re-posted 20 days ago


Job description

Job Description:
We are looking for a skilled Python Data Engineer with hands-on experience in Azure, PySpark, and Databricks, specifically within the insurance domain. This is a hybrid, long-term contract position requiring a mix of remote and onsite work in either Hartford, CT or Charlotte, NC. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and supporting data-driven decision-making across the organization.
Key Responsibilities:
  • Design and develop scalable and robust data pipelines using PySpark and Python.
  • Leverage Azure Data Services (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse) for data integration and transformation.
  • Utilize Databricks for distributed data processing, data wrangling, and advanced analytics.
  • Ensure data quality, integrity, and compliance with data governance and security policies.
  • Collaborate with cross-functional teams, including business analysts, data scientists, and application developers.
  • Participate in performance tuning, troubleshooting, and optimization of data workflows.
  • Translate business requirements into technical specifications, especially within the insurance industry context.
  • Develop and maintain documentation for data pipelines and architecture.