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Seasonal Azure Data Engineer Jobs in Virginia (NOW HIRING)

DPR Construction

PCA Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

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 ...

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 ...

Guidehouse

Senior Data Engineer

Mclean, VA

$107K - $145K/yr

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent ...

Guidehouse

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or equivalent ...

CyberMedia Technologies

Data Engineer

Mclean, VA

$115K - $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 ...

Zortech Solutions

Agentic Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Agentic Data Engineer Location - Richmond, VA Interview Type: Both Phone and In Person Work Type ... Experience with cloud AI services (Azure AI). * Designing and developing data pipelines for agentic ...

DPR Construction

Data Engineering Lead- Finance

Richmond, VA · On-site

$113K - $136K/yr

Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with ...

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All JobsAzure Data Engineer JobsSeasonal Azure Data Engineer JobsSeasonal Azure Data Engineer Jobs in Virginia

Seasonal Azure Data Engineer information

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

AspectSeasonal Azure Data EngineerAzure Data Engineer
CredentialsAzure certifications, data engineering skillsAzure certifications, data engineering skills
Work EnvironmentProject-based, temporary roles during peak seasonsFull-time, ongoing roles in organizations
Employer & IndustryCompanies with seasonal data needs, retail, financeVarious industries, permanent data teams
Search & Comparison IntentUnderstanding temporary vs permanent roles in Azure dataCareer growth, long-term opportunities in data engineering

The main difference between a Seasonal Azure Data Engineer and an Azure Data Engineer lies in the employment duration and project scope. Seasonal Azure Data Engineers work on short-term projects during specific seasons, often in retail or finance, while Azure Data Engineers hold permanent roles focused on ongoing data infrastructure management. Both roles require similar certifications and skills, but their employment nature and career paths differ.

What are the most commonly searched types of Azure Data Engineer jobs in Virginia?

The most popular types of Azure Data Engineer jobs in Virginia are:

Seasonal Azure Data Engineer jobs near you

Senior Data Engineer - Advanced Data Integration & Cloud Solutions

Electronic Consulting Services, Inc (ECS Federal)

Fairfax, VA • On-site

$130K - $150K/yr

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Job description

Job Description
Everforth ECS Federal is seeking a Senior Data Engineer-Advanced Data Integration & Cloud Solutions to work remotely .
The Senior Data Engineer will lead the design, build, and optimize scalable data pipelines and services that power advanced analytics and machine learning solutions. This role emphasizes data quality, performance, and interoperability in modern cloud environments, enabling CPSC's strategic acceleration toward Sentinel-driven product safety analytics. The engineer will ensure secure, efficient, and reproducible data workflows that support predictive modeling, real-time monitoring, and actionable insights.
Key Responsibilities:
  • Data Pipeline Engineering
    • Develop production-grade ETL workflows using Python and Microsoft-based frameworks to ingest, transform, and validate large-scale structured and unstructured data.
    • Implement schema enforcement, data validation, and quality checks to maintain integrity across diverse sources.
    • Optimize pipelines for performance, scalability, and fault tolerance using open-source and cloud-native patterns.
  • Cloud Integration & Orchestration
    • Architect and manage Azure-based data solutions, including Data Lake Storage, Azure SQL, and cloud storage access from Python services.
    • Design and deploy workflow orchestration using Azure Data Factory or Foundry for scheduling, monitoring, and automation.
    • Ensure secure integration of APIs and services within the Microsoft ecosystem for seamless data exchange.
  • Advanced Technical Development
    • Build Python-based data services leveraging libraries such as Pandas, Pytorch, and other open-source frameworks for high-performance processing.
    • Implement logging, monitoring, and performance tuning for robust operational reliability.
    • Develop API endpoints and microservices to enable interoperability with analytics and ML platforms.
  • Collaboration & Governance
    • Work closely with data scientists, analysts, and cloud architects to deliver clean, reliable data for predictive modeling and real-time dashboards.
    • Apply data governance best practices, ensuring compliance, reproducibility, and auditability across workflows.
    • Contribute to Agile team processes, driving iterative improvements and shared problem-solving.

Salary Range: $130,000 - $150,000
General Description of Benefits
Required Skills
  • 5+ years developing and deploying advanced statistical and machine learning models or supporting data pipelines for such models.
  • Proficiency in Python (Pandas required; scikit-learn, NumPy, and related libraries preferred).
  • Strong SQL skills and experience integrating data from relational databases.
  • Hands-on experience in cloud environments (Azure); Microsoft Data Engineer certification advantageous.
  • Open-source frameworks for production-grade data pipelines.
  • ETL development using Python and Microsoft technologies.
  • Data validation, schema enforcement, and quality assurance.
  • API development within Microsoft ecosystem.
  • Performance optimization, logging, and monitoring for large-scale systems.
  • Azure Data Lake Storage integration and Azure SQL connectivity.
  • Workflow orchestration with Azure Data Factory.
  • Deployment and operation of Python-based data services in Azure.
  • Familiarity with open-source data processing libraries (Pandas, PyTorch, Tensorflow etc.).

Desired Skills
  • Master's, Ph.D., or equivalent professional experience in Data Science, Computer Science, Statistics, Engineering, or related field.
  • Knowledge of data engineering patterns for scalable, secure systems in regulated environments.

#EverforthECS1
ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.
We value:
  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!

Apply