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

Plateau Software, Inc.

Azure Data Engineer

Fairfax, VA · On-site

$113.60K - $136.50K/yr

Plateau GRP is seeking an experienced Azure Data Engineer to support a major data modernization initiative for the Federal Deposit Insurance Corporation (FDIC). The selected candidate will play a key ...

Plateau Software Inc

Azure Data Engineer

Fairfax, VA

$113.60K - $136.50K/yr

Description Plateau GRP is seeking an experienced Azure Data Engineer to support a major data modernization initiative for the Federal Deposit Insurance Corporation (FDIC). The selected candidate ...

CACI International, Inc.

Sr. Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

Job Title: Sr. Data Engineer Job Category: Information Technology Time Type: Full time Minimum ... Develop and maintain data pipelines using Azure Data Factory and other relevant Azure technologies.

Plateau Software, Inc.

Azure Databricks Engineer

Fairfax, VA · On-site

$59.50 - $77.50/hr

Integrate data from multiple sources using Azure Data Factory, Azure Data Lake Storage, and Azure ... BA/BS/MS in Computer Science, Engineering, Data Science, or equivalent experience. * Over 5 years ...

Lorven Technologies

Azure Data Architect

VA · On-site

$64.50 - $83/hr

Data Architect responsible for defining and governing Azure-based data architecture, supporting ETL modernization, analytics, and reporting, while working closely with Data Engineering, BI, and Data ...

Plateau Software Inc

Azure Databricks Engineer

Fairfax, VA

$96.80K - $132.50K/yr

Integrate data from multiple sources using Azure Data Factory, Azure Data Lake Storage, and Azure ... BA/BS/MS in Computer Science, Engineering, Data Science, or equivalent experience. * Over 5 years ...

Lorven Technologies

Azure Data Architect

Mclean, VA · On-site

$64.75 - $83.25/hr

Required Skills * 12+ years in data engineering / data platform roles with architecture responsibility * Strong experience with Azure data technologies (ADF, ADLS, Synapse, Azure SQL) * Solid ...

CACI

Sr. Data Engineer with Security Clearance

Arlington, VA

$131.90K - $158.40K/yr

Job Title: Sr. Data Engineer Job Category: Information Technology Time Type: Full time Minimum ... Develop and maintain data pipelines using Azure Data Factory and other relevant Azure technologies.

Accenture Federal Services

Data Engineer

Washington, DC

$129.70K - $155.70K/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

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 ...

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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.

Azure Data Engineer

Plateau Software, Inc.

Fairfax, VA • On-site

$113.60K - $136.50K/yr

Full-time

Posted 5 days ago

Job description

Plateau GRP is seeking an experienced Azure Data Engineer to support a major data modernization initiative for the Federal Deposit Insurance Corporation (FDIC). The selected candidate will play a key role in designing, implementing, and optimizing modern data platforms and analytics solutions in the Microsoft Azure environment.
This position requires a strong blend of technical expertise, consultative ability, and collaboration skills to work across diverse teams supporting data governance, cloud architecture, and advanced analytics efforts.
Key Responsibilities
  • Design and build scalable Azure-based data pipelines, architectures, and data services to support FDIC's modernization objectives.
  • Develop and maintain ETL/ELT workflows, data lake and warehouse structures, and data integration solutions.
  • Implement best practices for data governance, data quality, and metadata management within the Azure environment.
  • Collaborate with cross-functional teams to ensure secure, efficient, and compliant management of structured and unstructured data.
  • Support big data, advanced analytics, and reporting/dashboarding solutions using Azure cloud technologies.
  • Contribute to the design of cloud and hybrid infrastructure solutions, including serverless, containerized, and pay-per-use architectures.
  • Apply machine learning (ML) and MLOps practices to operationalize and monitor data science models.
  • Ensure enterprise-grade data security, access control, and cloud operations in alignment with FDIC standards.
  • Collaborate in Agile teams, providing technical insight and clear communication to both technical and non-technical stakeholders.

Requirements
Required Qualifications
  • BA/BS/MS in Computer Science, Engineering, or an equivalent combination of education and/or experience.
  • Minimum of 3 years of experience in technical roles such as developer, systems analyst, or data engineer.
  • This position requires US Citizenship and the ability to pass/obtain any required government background check or security clearance. An active security is preferred.
  • Strong consultative skills and ability to operate effectively across functional teams.
  • Excellent presentation and communication skills with a proven ability to translate complex technical concepts clearly.
  • Solid project and team management experience within Agile environments.
  • One or more Microsoft Azure Cloud Certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect, or Azure AI Engineer).
  • Enterprise-scale experience in:
  • Cloud and hybrid infrastructures
  • Enterprise solution architecture
  • Data pipelines and integration
  • Cloud and data security
  • Data management and cloud operations
  • Hands-on experience with:
  • Azure Data Factory, Synapse Analytics, Databricks, Data Lake, and Power BI
  • SQL and NoSQL database technologies
  • Serverless, container-based, and event-driven architectures
  • Big Data and Advanced Analytics in Azure environments
  • Data Governance, Data Engineering, and Data Science workflows
  • Machine Learning and MLOps best practices

Preferred Qualifications
  • Prior experience supporting federal data modernization or enterprise transformation programs.
  • Familiarity with DevOps and CI/CD pipelines in Azure environments.
  • Proficiency in Python, PySpark, SQL, or similar languages for data transformation and analysis.
  • Experience integrating AI and analytics solutions with data platforms.

Plateau does not accept unsolicited resumes from third-party recruiters without a signed third-party agreement. Any unsolicited third-party resumes forwarded by recruiters to Plateau or to any of our managers or employees will be considered public information, may be treated as a direct application from the person identified in the resume, and will not be eligible for placement fee payment to the agency.
EEO Statement:
Plateau is an equal opportunity/affirmative action employer; all qualified applicants will receive consideration for employment without regard to age, gender, gender identification, sex, sexual orientation, color, race, creed, national origin, religion, marital status, parental status, citizenship status, ancestry, physical or mental disability, genetic information, veteran status, military status, or any other classification protected by federal, state, or local laws.
Plateau is committed to providing access and reasonable accommodations for individuals with disabilities. If you require reasonable accommodation, please email the Plateau HR Department at hrteam@plateauinc.com
Plateau is a proud Equal Opportunity Employer! (M/F/Disability/Vets)

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