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Azure Data Engineer Jobs in Hanover, MD (NOW HIRING)

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

Senior Azure Engineer

Washington, DC · On-site

$140 - $155/hr

Data Architect - Azure & Databricks Location: Washington, DC (Onsite) Role Summary We are seeking ... In this role, you will define enterprise-grade data architectures, guide engineering teams, and ...

... 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

Baltimore, MD

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

... claims processing and leveraging Azure technologies for data management and reporting ... Azure Data Engineer Associate or Databricks Certified Professional Data Engineer • Government or ...

Data Engineer

Washington, DC

$129K - $155K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

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

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

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY ... Migrate source data identified by SBA OIG into Azure Data Lake Storage. Normalize entity attributes ...

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Azure Data Engineer information

See Hanover, MD salary details

$44.3K

$129.1K

$176.6K

How much do azure data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for azure data engineer in Hanover, MD is $129,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $136,800.00 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.
What are popular job titles related to Azure Data Engineer jobs in Hanover, MD? For Azure Data Engineer jobs in Hanover, MD, the most frequently searched job titles are:
What cities near Hanover, MD are hiring for Azure Data Engineer jobs? Cities near Hanover, MD with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Hanover, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $129,067 per year, or $62.1 per hour.

Sr. Azure Data Engineer-Hybrid

Cognizant Technology Solutions

Washington, DC • On-site

$72 - $93.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants


Job description

Job Responsibilities
  • Design Azure-centric solution architectures that orchestrate Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory to deliver reliable event-driven integration patterns for complex banking workflows
  • Develop comprehensive end-to-end data processing pipelines that ingest, transform, and store high-volume investment banking and brokerage data in Azure Data Lake Store while ensuring scalability, performance, and operational resilience
  • Collaborate with product owners, business analysts, and engineering teams to translate investment banking operations requirements into technical blueprints that align with enterprise architecture standards and regulatory expectations
  • Optimize Azure Data Factory workflows, including mapping data flows and orchestrations, to reduce latency, improve throughput, and maintain consistent data quality across upstream and downstream systems
  • Configure and manage Azure Key Vault usage across applications to safeguard secrets, certificates, and encryption keys, and to support secure application integration for confidential financial information
  • Implement event-driven patterns using Azure Event Grid and Azure Functions to support near-real-time processing of trade events, settlements, and reconciliations with clear fault-handling and monitoring strategies
  • Guide application and data teams on integration with Azure Logic Apps for workflow automation and straight-through processing across trading platforms, market data feeds, and back-office systems
  • Establish standards for logging, monitoring, and alerting across Azure services, ensuring observability of data pipelines and event-driven functions and enabling timely response to incidents that could affect business operations
  • Evaluate existing architectures and recommend modernization strategies to move legacy data and integration workloads into Azure-native services while minimizing risk and downtime for critical investment banking processes
  • Document architecture decisions, design patterns, interface contracts, and security controls in a clear and accessible manner to support future audits, knowledge sharing, and continuous improvement across technology teams
  • Coordinate with security and risk stakeholders to validate that encryption, access controls, network configurations, and secret management within Azure adhere to internal policies and external regulatory frameworks for financial institutions
  • Mentor junior engineers and architects by reviewing solution designs, code implementations, and deployment pipelines, thereby reinforcing best practices in cloud architecture and data engineering
  • Participate in hybrid work model ceremonies, including design reviews, sprint planning, and architecture forums during day shifts, to ensure consistent communication and alignment across distributed teams
Qualifications
  • Demonstrate deep hands-on experience with Azure Event Grid, Azure Functions, Azure Logic Apps, Azure Data Lake Store, Azure Key Vault, and Azure Data Factory, including design, deployment, and operational optimization in production environments
  • Apply strong knowledge of cloud security, data protection, and identity management to shape architectures that handle sensitive investment banking and brokerage data in a safe, compliant, and resilient manner
  • Utilize experience in investment banking operations or brokerage domains to understand trade lifecycles, settlements, reconciliations, and reporting so that technical solutions directly address business challenges
  • Employ advanced skills in data modeling, integration patterns, and performance tuning to ensure that large-scale data pipelines and event processing systems meet demanding service level expectations
  • Use excellent communication and stakeholder management capabilities to collaborate effectively with cross-functional teams, including business operations, risk, compliance, and technology delivery groups
  • Bring proven experience in hybrid work models and distributed collaboration tools to maintain productivity, knowledge sharing, and clear documentation across teams working in distributed settings.

About Cognizant's IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things-but with it, our modern connected products facilitate a unified way of life enjoyed by all.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
  • Applications will be accepted until September 4th , 2026
  • LI#- #LI-SC6

Compensation & Benefits
$92,000 - $110,000 per year
Bonus + Comprehensive Benefits
Additional Information
  • Onsite role
  • ⚠️ Visa sponsorship is not available now or in the future. Candidates requiring sponsorship will not be considered.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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