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Azure Data Engineer Jobs in Silver Spring, MD (NOW HIRING)

Venture Global LNG

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Maintain the Azure components and services. * Develop architecture changes using infrastructure as code. * Create data architectures diagrams for complex data modeling solutions. * Create and ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Job Title: Cloud Solutions Engineer - Data (Azure/Fabric) Location: National Harbor, MD (Hybrid) Type: Full Time Compensation: $100,000 to $140,000 Annually, subject to experience - plus a ...

SG2 Recruiting

Data Engineer I

Baltimore, MD · Remote

$113K - $136K/yr

They assist with data integration and transformation using tools such as Python, T-SQL, SSMS, Databricks, and Azure Data Factory. They collaborate with other data engineers to understand technical ...

SG2 Recruiting

Data Engineer I

Baltimore, MD · Remote

$113K - $136K/yr

They assist with data integration and transformation using tools such as Python, T-SQL, SSMS, Databricks, and Azure Data Factory. They collaborate with other data engineers to understand technical ...

Pwc

Data Engineer - Manager

Baltimore, MD

... 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 ...

Dlapiper

Data Engineer

Washington, DC · On-site

$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 ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/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 ...

Omni Inclusive

Azure Data Factory

Mclean, VA · On-site

$56.50 - $70/hr

Job Title Mandatory required skills - Azure Data Factory, Logic App, Functions, Azure SQL DB, Blob Storage * Experience working with Azure Services like Azure Data Factory, Logic App, Functions ...

Dlapiper

Data Engineer

Baltimore, MD · On-site

$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 ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119K - $143K/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 ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Silver Spring, MD

Azure Data Engineer information

See Silver Spring, MD salary details

$46K

$134.1K

$183.5K

How much do azure data engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for azure data engineer in Silver Spring, MD is $134,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,100.00 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, and why are they important?

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 engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of 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. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

What are Azure Data Engineers?

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 popular job titles related to Azure Data Engineer jobs in Silver Spring, MD? For Azure Data Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Silver Spring, MD look for? The top searched job categories for Azure Data Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Azure Data Engineer jobs? Cities near Silver Spring, MD with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Silver Spring, MD as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $134,098 per year, or $64.5 per hour.
Data Engineer

Data Engineer

Venture Global LNG

Arlington, VA • On-site

$131K - $158K/yr

Other

Posted 17 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
The Data Engineer is responsible for developing, designing, and maintaining data platform solutions. The measures of an ideal candidate include communication skills, technical proficiency, collaboration, and willingness to learn new things. This new position will be based in our Arlington, VA headquarters and report to the Director of Business Intelligence. This position is structured within IT under the Vice President of Applications.
The position will be located in Arlington, VA.
Position Responsibilities:
Key Responsibilities and Essential Duties:
  • Build complex data solutions in an Azure Cloud environment.
  • Maintain the Azure components and services.
  • Develop architecture changes using infrastructure as code.
  • Create data architectures diagrams for complex data modeling solutions.
  • Create and maintain data dictionaries for contextualizing data from disparate sources.
  • Enable end-to-end automation for deployment using continuous integration and continuous delivery.
  • Implement data pipelines to ingest data to the platform, standardize the data, and transform the data into business facing datasets.
  • Perform unit and integration testing of data pipelines.
  • Perform data integration at scale with Azure Data Factory.
  • Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics.
  • Work with BI developers and business SMEs to translate business requirements into curated datasets suitable for analytics solutions.
  • Document data pipelines for maintainability.
  • Work with source system owners and business owners to incorporate business changes into data pipelines.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Job Qualifications
  • Bachelor's degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • 2+ years in cloud architecture and data engineering
  • Extensive experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure)
  • Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions.
  • Understanding of parallel processing and data architecture patterns.
  • Knowledgeable in data processing languages such as SQL, Python, or Spark.
  • Experience in building secure data processing pipelines using Azure data services.
  • Ability to self-manage and make your own decisions.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.

Preferred Qualifications
  • Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git
  • Experience in coding languages primarily Python and Spark.
  • Experience in agile development and sprint planning.
  • Strong technical writing skills.

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.
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