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Azure Data Engineer Jobs in Reston, VA (NOW HIRING)

Paradigm Max Q LLC

Power BI Data Engineer

Arlington, VA · On-site

$130.80K - $157.10K/yr

Power BI Data Engineer Reports To: Data Analytics Director Location: Hybrid About Us Paradigm Max Q ... Develop and manage data integration workflows using tools such as Azure Data Factory, SSIS, or ...

Paradigm Max Q LLC

Power BI Data Engineer

Arlington, VA · On-site

$130.80K - $157.10K/yr

Power BI Data Engineer Reports To: Data Analytics Director Location: Hybrid About Us Paradigm Max Q ... Develop and manage data integration workflows using tools such as Azure Data Factory, SSIS, or ...

Venture Global LNG

Data Engineer

Arlington, VA

$131.90K - $158.40K/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 ...

Venture Global LNG

Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/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 ...

Venture Global LNG

Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/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 ...

MDAEdge

Senior Data Engineer

Washington, DC · On-site

$119.60K - $162.50K/yr

Azure Data Engineer Associate or Databricks Certified Professional Data Engineer • Government or highly regulated environment experience (7+ years) Company : The world doesn't have a talent ...

Dlapiper

Data Engineer

Washington, DC · On-site

$129.70K - $155.70K/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

$119.10K - $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 ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119.10K - $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 ...

Pwc

Data Engineer - Senior Associate

Washington, DC · 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 ...

CyberMedia Technologies

Data Engineer

Mclean, VA

$115.70K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Reston, VA

Azure Data Engineer information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do azure data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for azure data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

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 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 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 most commonly searched types of Azure Data Engineer jobs in Reston, VA? The most popular types of Azure Data Engineer jobs in Reston, VA are:
What are popular job titles related to Azure Data Engineer jobs in Reston, VA? For Azure Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Reston, VA look for? The top searched job categories for Azure Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Azure Data Engineer jobs? Cities near Reston, VA with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Reston, VA as of May 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 79% Physical, 11% Hybrid, and 10% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.

Power BI Data Engineer

Paradigm Max Q LLC

Arlington, VA • On-site

$130.80K - $157.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Position Title: Power BI Data Engineer
Reports To: Data Analytics Director
Location: Hybrid
About Us
Paradigm Max Q is redefining defense industry support. Founded in 2023, we combine elite talent with advanced analytics to deliver actionable solutions that improve readiness and reduce costs for the government and warfighter.
With rapid growth and operations in 16 U.S. locations, we're driven by performance, innovation, and impact. Our mission: to deliver measurable results that strengthen national defense and empower those who serve.
Join us as we shape the future of defense support.
Position Summary
The Data Engineer - Power BI is responsible for designing, building, and maintaining scalable data pipelines and data models that support business intelligence and analytics initiatives. This role partners closely with business stakeholders, analysts, and Power BI developers to deliver high-quality, trusted datasets and optimized reporting solutions.
The ideal candidate combines strong data engineering expertise with deep knowledge of Power BI architecture, ensuring robust, performant, and secure data solutions.
Key Responsibilities
Data Engineering & Pipeline Development
  • Design, build, and maintain ETL/ELT pipelines to ingest, clean, and transform data from various sources (SQL Server, cloud platforms, APIs, flat files, etc.).
  • Develop and manage data integration workflows using tools such as Azure Data Factory, SSIS, or similar.
  • Ensure data quality, integrity, and reliability across all pipelines.
  • Enforce data governance standards, including data lineage, cataloging, and documentation.

Data Modeling & Power BI Enablement
  • Design and implement optimized data models (star schema, snowflake) tailored for Power BI reporting.
  • Create reusable semantic models and datasets for enterprise reporting.
  • Optimize Power BI datasets for performance, scalability, and usability.
  • Work closely with Power BI developers to align models with reporting requirements.

Cloud & Platform Management
  • Develop and maintain data solutions in cloud environments (e.g., Azure Synapse, Azure SQL, Data Lake).
  • Implement best practices for data storage, processing, and orchestration.
  • Support deployment and lifecycle management (CI/CD) for data pipelines and Power BI artifacts.

Collaboration & Stakeholder Engagement
  • Collaborate closely with stakeholders to define modeling requirements and deliver value-driven solutions.
  • Communicate technical concepts clearly to non-technical audiences, influencing strategic and tactical decisions.
  • Translate business needs into scalable technical solutions.

Qualifications
  • Bachelor's degree in computer science, Information Systems, Data Engineering, or related field.
  • 3+ years of experience in data engineering or BI development
  • Proven experience developing solutions with Microsoft Power BI
  • Strong knowledge of DAX, Power Query, and data modeling in Microsoft Environment
  • Active Secret Clearence

Preferred Characteristics
  • SQL skills (query optimization, stored procedures, data modeling)
  • Experience with Microsoft Power Platform (Dataverse, Power Apps, Power Automate, etc.)_
  • Experience with cloud data platforms (Azure, AWS, or equivalent)
  • Experience supporting executive-level reporting and decision support
  • Microsoft certifications
    • Microsoft Certified: Power BI Data Analyst Associate (PL-300)
    • Microsoft Certified: Azure Data Engineer Associate (DP-203)
    • Microsoft Certified: Fabric Analytics Engineer Associate
    • Microsoft Certified: Azure Solutions Architect Expert
    • Microsoft Certified: Azure Data Fundamentals (DP-900)

Benefits Statement: Paradigm Max Q provides eligible employees with a comprehensive benefits package that includes medical, dental, and vision insurance; life insurance; short-term and long-term disability coverage; a 401(k)-retirement plan; paid time off (PTO) for vacation; and company-paid holidays. The benefits package also includes reimbursement for a Planet Fitness Black Card membership.
EEO Statement: We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other characteristics protected by applicable law.

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