ZipRecruiter

Log In

1

Azure Data Engineer Jobs in Dover, NH (NOW HIRING)

Tyler Technologies, Inc.

Senior Identity Engineer

York, ME · On-site

$102.72 - $140/hr

Microsoft AZ-500 -- Azure Security Engineer * Microsoft AZ-800 / AZ-801 -- Windows Server Hybrid Administrator * AWS Certified Security - Specialty (SCS-C02) * CISSP, SANS GIAC (GCIA / GCIH / GPCS ...

Liberty Mutual

Senior Test Engineer

Portsmouth, NH · On-site

Familiarity with the ACORD data model and insurance messaging standards. Experience integrating automated testing into CI/CD pipelines using tools such as Jenkins, GitHub Actions, Azure DevOps, or ...

Liberty Mutual

Senior Test Engineer

Portsmouth, NH

... data model and insurance messaging standards. • Experience integrating automated testing into CI/CD pipelines using tools such as Jenkins, GitHub Actions, Azure DevOps, or similar platforms. • ...

Liberty Mutual

Senior Test Engineer

Portsmouth, NH

$106K - $197K/yr

... data model and insurance messaging standards. • Experience integrating automated testing into CI/CD pipelines using tools such as Jenkins, GitHub Actions, Azure DevOps, or similar platforms. • ...

Mondo

IAM Engineer

Salem, NH · Remote

$70 - $75/hr

IAM Engineer, Remote (East Coast). Start date is ASAP for this 6-month contract position with ... Minimum Requirements: 5 years of hands-on Microsoft Entra ID/Azure AD experience in an enterprise ...

previous page

Showing results 41-60

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Dover, NH

Azure Data Engineer information

See Dover, NH salary details

$45.4K

$132.5K

$181.2K

How much do azure data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for azure data engineer in Dover, NH is $132,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,900.00 and $140,400.00 per year, depending on experience, location, and employer.

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.

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 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.

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 infrastructure across industries.

What job categories do people searching Azure Data Engineer jobs in Dover, NH look for?

The top searched job categories for Azure Data Engineer jobs in Dover, NH are:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Dover, NH as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $132,456 per year, or $63.7 per hour.

Business Intelligence Developer

Albany International Corp.

Portsmouth, NH • On-site

Full-time

Re-posted yesterday

Job description

Job Summary:
Albany International Corp. is a leading developer and manufacturer specializing in engineered components and advanced materials processing. They are seeking a Business Intelligence Developer to contribute to the development and support of the enterprise analytics ecosystem, focusing on Microsoft technologies and SAP data integration.
Responsibilities:
• Support and enhance existing Microsoft BI solutions across SQL Server, SSAS, and SSRS, ensuring performance, reliability, and data accuracy
• Contribute to the migration of legacy analytics assets to Microsoft Fabric, including data models, data pipelines, and reporting solutions
• Develop and maintain scalable data models and semantic layers that transform enterprise data (e.g., SAP) into analytics-ready structures
• Build and support data ingestion and transformation pipelines within the Microsoft ecosystem
• Develop and maintain dashboards and reporting solutions to enable business insights and self-service analytics
• Assist in integrating Microsoft AI capabilities (e.g., Microsoft Fabric AI features, Azure AI services, and Foundry) into analytics workflows to enhance insights and automation
• Apply established standards and best practices for data modeling, performance optimization, and development lifecycle management
• Collaborate with team members, architects, and stakeholders to deliver analytics solutions aligned with business requirements
• Support data governance, security, and compliance requirements across analytics platforms
Qualifications:
Required:
• Understanding of business processes and KPIs in a manufacturing or enterprise environment
• 5+ years of experience developing analytics and reporting solutions in an enterprise Microsoft data environment
• Hands-on experience with SQL and Microsoft BI technologies (SSAS, SSRS, or similar), supporting enterprise-scale reporting solutions
• Experience working with ERP solutions, specifically SAP S/4HANA data as a source for analytics and reporting solutions
• Exposure to modern Microsoft analytics tooling such as Microsoft Fabric, Azure Synapse, or Power BI within implementation or support roles
• Working knowledge of data modeling concepts including dimensional modeling, basic semantic layer design, and ETL/ELT processes
• Familiarity with data pipeline development, orchestration concepts, and performance optimization in data workflows
• Understanding of data governance, security, and compliance practices in enterprise environments
• Ability to collaborate effectively within cross-functional teams and contribute to delivery of larger analytics programs
• US citizen or permanent resident
Preferred:
• Experience integrating SAP CDS views, ABAP-managed CDS, and OData with modern data lake architectures.
• Familiarity with CI/CD, Infrastructure-as-Code, and FinOps for cloud analytics cost
• Knowledge of compliance frameworks (SOX, CMMC) and coordination with GIS Compliance and Cybersecurity.
Company:
Albany International is a global advanced textiles and materials processing company with two core businesses. Founded in 1895, the company is headquartered in Rochester, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply