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Executive Azure Data Factory Developer Jobs in Virginia

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 ...

Data Engineer

Reston, VA

$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 ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing ... open-source data engineering tools such as ElasticSearch and NiFi • Experience with Docker ...

Lead Data Engineer

Reston, VA · Remote

$119K - $143K/yr

Description Lead Data Engineer At MetaPhase, we believe Quirky is Cool and being authentic is the ... Design, develop and maintain Azure Data Factory object and components, Elastic Job Agents and Azure ...

Data Engineer

Suffolk, VA

$101K - $121K/yr

Familiarity with cloud-based ETL tools and infrastructure (e.g., Azure Data Factory, AWS Glue) for ... Comfortable with DevOps practices to package, test, and deploy data pipeline code in a controlled ...

... Engineering, Mathematics, Business, or related field of study. • Knowledge in cloud data ... Lake and Azure Data Factory. • Experience using Databricks for machine learning algorithm ...

Lead Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Role Summary MetaPhase is seeking an experienced and strategic Data Engineer with 7+ years of ... Design, develop and maintain Azure Data Factory object and components, Elastic Job Agents and Azure ...

Cleared Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The Cleared Data Engineer will design and maintain data pipelines, integrate diverse data sources ... AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing ...

Data Architect

Reston, VA · Remote

$66.25 - $85.25/hr

... engineering tasks in an Azure environment. This role will provide both hands-on technical ... Design, develop and maintain Azure Data Factory object and components, Elastic Job Agents and Azure ...

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Executive Azure Data Factory Developer information

What is the difference between Executive Azure Data Factory Developer vs Azure Data Factory Developer?

AspectExecutive Azure Data Factory DeveloperAzure Data Factory Developer
CertificationsAzure Data Engineer, Azure Data Factory certificationsAzure Data Engineer, Azure Data Factory certifications
Work EnvironmentLeadership roles, strategic planning, cross-team collaborationTechnical implementation, data pipeline development, coding
Industry UsageUsed in organizations with senior data management needsUsed across various industries for data integration tasks

The Executive Azure Data Factory Developer typically combines technical expertise with strategic leadership, overseeing data projects and guiding teams. In contrast, the Azure Data Factory Developer focuses on building and maintaining data pipelines. Both roles require similar certifications, but their responsibilities differ in scope and seniority.

What are the most commonly searched types of Azure Data Factory Developer jobs in Virginia? The most popular types of Azure Data Factory Developer jobs in Virginia are:

Azure Data Engineer with Security Clearance

Plateau Software Inc

Fairfax, VA • Hybrid

$117K - $140K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


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