ZipRecruiter

Log In

1

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

Node.Digital

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY ... Synapse and Azure Machine Learning, using both SDK V1 and SDK V2. • Migrate source data ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY ... Synapse and Azure Machine Learning, using both SDK V1 and SDK V2. • Migrate source data ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/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 ...

Beghou Consulting

Data Engineer

Rockville, MD

$116K - $140K/yr

Develop cloud-native data solutions on AWS and/or Azure. * Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices.

InstantServe LLC

Azure Data Solutions Architect

Washington, DC · On-site

$72 - $92.50/hr

Azure Data Solutions Architect Location: Washington, DC (20001) Onsite Inperson Interview DC. Govt ... Work closely with senior management, data scientists, application developers, and business analysts ...

BakerHostetler

Data Solutions Engineer

Washington, DC · On-site

$129K - $155K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure ... Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

Pantheon Data

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

AWS Data Engineer Associate, AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent certification.4 years of data engineering experience, or 3 years with a Master's degree.Ability ...

Ignite Digital

Mid Data Engineer

Washington, DC · Hybrid

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory). * Familiarity with Databricks, Palantir ... Data engineering certification (e.g. Azure, Google, IBM, Palantir). * Experience working with ...

Brooksource

Jr Data Engineer

Baltimore, MD · On-site

$30 - $40/hr

Jr. Data Engineer Remote Role 6-Month Contract-to-Hire Compensation: $40 per hour ABOUT THE ROLE ... Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, Python, and SQL

Solomon Page

Snowflake Data Engineer

Washington, DC · On-site

$150K - $190K/yr

Our client is looking to fill the role of Snowflake Data Engineer for a hands-on role within the ... Experience building and deploying data platforms in Azure (Azure Data Factory, Azure Storage, Azure ...

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD · Hybrid

$113K - $136K/yr

Experience with Azure Data Factory, AWS Glue, or similar data integration platforms. * Experience ... Exposure to DevOps/CI-CD patterns for data workflows * MuleSoft implementation experience

BDR Solutions LLC

Data Engineer - Senior

Hyattsville, MD · On-site +1

$110K - $170K/yr

Azure DevOps or GitHub Actions * Experience with machine learning pipelines * Knowledge of data governance frameworks * Familiarity with real-time streaming systems * Certifications in cloud ...

BDR Solutions LLC

Data Engineer - Senior

Hyattsville, MD · Remote

$110K - $170K/yr

Azure DevOps or GitHub Actions * Experience with machine learning pipelines * Knowledge of data governance frameworks * Familiarity with real-time streaming systems * Certifications in cloud ...

SG2 Recruiting

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Knowledge of Azure cloud services and modern data platform architecture. * Experience using tools ...

previous pagenext page

Showing results 21-40

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Hanover, MD

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:
Azure Data Engineer jobs near you
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.

Senior Data Engineer

Node.Digital

Washington, DC • On-site, Remote

$120K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Senior Data Engineer
Location: Herndon, VA (Remote Work)
Must have an Public Trust Clearance
KEY RESPONSIBILITIES
• Provide authoritative expertise on data engineering methods and best practices, including code first development approaches and modern pipeline design patterns.
• Design, implement, and maintain the data architecture that supports products and end users, with all assets managed under source control.
• Design, implement, and maintain ELT and ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning, using both SDK V1 and SDK V2.
• Migrate source data identified by SBA OIG into Azure Data Lake Storage.
• Normalize entity attributes such as addresses, phone numbers, and other common fields.
• Review, maintain, and improve existing architecture and pipelines, including periodic audits addressing bottlenecks, deprecated dependencies, and architecture drift.
• Establish quality controls across all pipelines and introduce error handling, logging mechanisms, and validation checks.
• Incorporate source control across all pipelines and analytics codebases so code can evolve iteratively without destabilizing the architecture.
• Optimize ingestion, processing, and storage across a wide variety of datasets and data types, including modern columnar formats such as Parquet.
• Develop self service capabilities that let SBA OIG analysts query and export data for investigations and audits.
• Author robust standard operating procedures governing the authoring, development, validation, publishing, execution, and monitoring of all data pipelines and assets in the Azure environment.
• Produce detailed documentation of the data architecture, including data dictionaries, entity relationship diagrams, and pipeline process maps.
• Maintain and expand the environment with additional datasets and services on request, following a defined intake and testing process before production deployment.
• Stay current with emerging AI tooling relevant to data engineering and contribute to exploratory work evaluating automation and language model assisted capabilities.
Requirements
Education
Bachelor's degree in data engineering, computer science, data science, machine learning, mathematics, or a related field. Alternatively, five years of applied work experience in any of the same fields.
  • 5 years - Maintaining SQL databases and conducting advanced operations in SQL and T-SQL.
  • 5 years - Designing, implementing, and maintaining ELT and ETL processes in cloud based data analytics environments.
  • 3 years - Working in Azure Synapse and Azure Machine Learning with the modern data stack. Certifications preferred, DP-203 or equivalent.
  • 3 years -Manipulating data in Python. Pandas is required. PySpark and Polars preferred. Experience developing reusable, modular code preferred.

PREFERRED QUALIFICATIONS
  • DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current certification.
  • Implementing pipelines and infrastructure using code first approaches: Python SDK, CLI, REST APIs, or infrastructure as code tooling such as Terraform or Bicep.
  • Implementing source control and continuous integration and delivery workflows for data assets.
  • Demonstrated familiarity with AI coding assistants and large language model integration patterns.
  • PySpark or Polars at production scale.
  • Entity resolution and attribute normalization across records with inconsistent addresses, names, and identifiers.
  • Building self service analytic access for non engineering users.

Benefits
We are proud to offer competitive compensation and benefits packages to include
  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training

Apply