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

Venture Global LNG

Data Engineer

Arlington, VA

$131.90K - $158.40K/yr

Build complex data solutions in an Azure Cloud environment. * Maintain the Azure components and ... Implement data pipelines to ingest data to the platform, standardize the data, and transform the ...

Venture Global LNG

Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

Build complex data solutions in an Azure Cloud environment. * Maintain the Azure components and ... Implement data pipelines to ingest data to the platform, standardize the data, and transform the ...

Venture Global LNG

Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

Build complex data solutions in an Azure Cloud environment. * Maintain the Azure components and ... Implement data pipelines to ingest data to the platform, standardize the data, and transform the ...

CyberMedia Technologies

Data Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure. * Experience ...

ICF

Data Engineer

Reston, VA · Hybrid

$119.10K - $143K/yr

... platform (AWS, Azure, or GCP) * 3+ years of experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory Preferred Qualifications: * Familiarity with streaming/real-time ...

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Azure Data Platform Engineer information

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$46.3K

$135K

$184.7K

How much do azure data platform engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for azure data platform 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 Platform Engineer, and why are they important?

To thrive as an Azure Data Platform Engineer, you need expertise in data modeling, SQL, cloud architecture, and a strong understanding of Microsoft Azure services, typically supported by a degree in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Databricks, and certifications like Microsoft Certified: Azure Data Engineer Associate are valuable. Strong analytical thinking, problem-solving skills, and effective communication set top performers apart in this role. These skills ensure the efficient design, deployment, and management of robust data solutions that support business intelligence and analytics needs.

What are some common challenges Azure Data Platform Engineers face when integrating data from multiple sources?

Azure Data Platform Engineers often encounter challenges when consolidating data from diverse sources, such as differing data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically involves designing robust data pipelines using Azure Data Factory or Synapse, implementing effective data transformation and cleansing routines, and ensuring secure, compliant data movement. Collaborating closely with data architects and business analysts is essential to align technical solutions with organizational data governance and integration requirements.

What is an Azure Data Platform Engineer?

An Azure Data Platform Engineer is a technology professional who specializes in designing, building, and managing data solutions on Microsoft Azure. They work with services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and other cloud-based data technologies to ensure efficient data storage, processing, integration, and analytics. Their role often involves implementing data pipelines, managing data security, optimizing performance, and supporting data-driven decision-making for organizations. Azure Data Platform Engineers typically collaborate with data scientists, analysts, and software developers to deliver robust and scalable data solutions.

What is the difference between Azure Data Platform Engineer vs Data Engineer?

AspectAzure Data Platform EngineerData Engineer
CertificationsAzure certifications (e.g., DP-203)General data engineering certifications (e.g., Google Cloud, AWS)
Work EnvironmentPrimarily cloud-based, Azure ecosystemOn-premises, cloud, or hybrid environments
Industry UsageOrganizations using Microsoft AzureVarious industries, broader data infrastructure roles
FocusDesigning, implementing, and managing Azure data solutionsBuilding and maintaining data pipelines and architectures

The Azure Data Platform Engineer specializes in Azure cloud data solutions, while the Data Engineer has a broader scope across different platforms and environments. Both roles require strong data management skills, but the Azure Data Platform Engineer focuses specifically on Azure services and certifications.

What are popular job titles related to Azure Data Platform Engineer jobs in Reston, VA? For Azure Data Platform Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Azure Data Platform Engineer jobs in Reston, VA look for? The top searched job categories for Azure Data Platform Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Azure Data Platform Engineer jobs? Cities near Reston, VA with the most Azure Data Platform Engineer job openings:
Azure Data Platform Engineer jobs near you

Azure Data Engineer with Security Clearance

Plateau Software Inc

Fairfax, VA • Hybrid

$113.60K - $136.50K/yr

Other

Posted 15 days ago

Job description

Azure Data Engineer 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    Plateau is a proud Equal Opportunity Employer! (M/F/Disability/Vets)

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