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Junior Azure Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Arlington, VA · On-site

$150K - $155K/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 ...

Data Engineer

Arlington, VA · On-site

$150K - $155K/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 ...

... guiding junior team members - Upholding standards in project deliverables - Building and ... Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer ...

Data Engineer

Mclean, VA

$115K - $139K/yr

Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse ... Provide guidance to junior data engineers and contribute to documentation and team enablement.

... computer engineering, or data analytics; Or equivalent combination of education, skills, and ... Azure Integrations tools such as Logic Apps, ADF, Function Apps · Experience with Azure data ...

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has ... Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or ...

Data Engineer

Sterling, VA · On-site

$105K - $135K/yr

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has ... Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or ...

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has ... Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or ...

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

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Junior Azure Data Engineer information

See Virginia salary details

$33.2K

$71.2K

$108.6K

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

As of Aug 16, 2026, the average yearly pay for junior azure data engineer in Virginia is $71,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $79,300.00 per year, depending on experience, location, and employer.

What does a junior Azure Data engineer do?

As a Junior Azure Data Engineer, your day-to-day tasks might include assisting with the design, development, and maintenance of data pipelines using Azure Data Factory, writing SQL queries for data extraction or transformation, and performing routine data validation to ensure data integrity. You’ll often collaborate with senior engineers, data analysts, and business stakeholders to gather requirements and deliver accurate data solutions aligned with company needs. In addition, you may assist in monitoring cloud resources, troubleshooting data flow issues, and updating documentation. This role is a great entry point for developing your skills in cloud data engineering and building a solid foundation for future growth.

What is a junior Azure Data engineer?

A Junior Azure Data Engineer is an entry-level role focused on designing, building, and maintaining data solutions on Microsoft Azure. They assist in data ingestion, transformation, and storage using Azure services like Azure Data Factory, Synapse Analytics, and Databricks. Their responsibilities typically include data pipeline development, ETL processes, and ensuring data security and compliance. They often work under senior engineers to optimize data solutions and troubleshoot issues. This role requires knowledge of cloud computing, SQL, and data processing frameworks.

What are the key skills and qualifications needed to thrive as a junior Azure Data engineer?

To excel as a Junior Azure Data Engineer, you need foundational knowledge of data modeling, ETL processes, SQL, and cloud platforms, typically backed by a degree in computer science or a related field. Familiarity with Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and basic understanding of data lake storage, along with entry-level certifications like Microsoft Azure Fundamentals, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you effectively translate business requirements into technical solutions and collaborate with team members. These competencies are crucial for ensuring reliable data pipeline development, supporting data-driven decision-making, and growing within the data engineering profession.

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:

What job categories do people searching Junior Azure Data Engineer jobs in Virginia look for?

The top searched job categories for Junior Azure Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Junior Azure Data Engineer jobs?

Cities in Virginia with the most Junior Azure Data Engineer job openings:

Infographic showing various Junior Azure Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $71,184 per year, or $34.2 per hour.

Azure Data & MLOps Engineer

Xtreme Solutions Corporate

Petersburg, VA • On-site

$112K - $134K/yr

Full-time

Posted 7 days ago


Job description

Description:

CASCOM ESD Enterprise Analytics/AI Program
Schedule: Full-Time / 1.0 FTE
Work Arrangement: Primarily Remote with Required Travel to Fort Lee, VA
Clearance: Active Final Secret Required


The Opportunity

This role sits where data engineering, Azure integration, security, and production ML meet.

The Azure Data & MLOps Engineer will build the Azure data pipelines, integrations, deployment mechanisms, and MLOps foundation supporting enterprise dashboards, applications, and AI/ML models.


What You'll Do
  • Design data-ingestion and system-integration architecture.
  • Connect the analytics environment to authoritative Army systems.
  • Build and maintain production pipelines for ingestion, transformation, reconciliation, and synchronization.
  • Develop REST API, service, database, file-based, and event-driven integrations.
  • Support structured, semi-structured, and document-based data.
  • Establish model-development and deployment environments.
  • Implement CI/CD, versioning, model packaging, releases, rollback, and monitoring.
  • Deploy models as endpoints, containers, batch jobs, or integrated services.
  • Configure identity, secrets, logging, monitoring, alerting, and security controls.
  • Diagnose data latency, data quality, pipeline, model-endpoint, and integration failures.
  • Develop architecture diagrams, interface descriptions, data-flow diagrams, and operational procedures.
  • Support Power BI and Power Apps data connections.

Requirements:Must-Have Qualifications
  • Active final Secret clearance.
  • 6+ years of data engineering, cloud engineering, platform engineering, or software integration experience.
  • 3+ years using Microsoft Azure.
  • Hands-on Azure data-engineering experience.
  • Strong SQL and Python skills.
  • Experience building production ETL/ELT pipelines and API-based integrations.
  • Experience deploying or operationalizing machine-learning models.
  • Experience implementing identity, access, secrets, logging, and monitoring within cloud environments.
  • Production experience with at least two major Azure data technologies, such as:
    • Azure Data Factory
    • Azure Synapse Analytics
    • Azure Databricks
    • Azure SQL
    • Azure Data Lake Storage
    • Microsoft Fabric
  • Experience developing REST API, service, database, file-based, or event-driven integrations.
  • Experience with Git, Azure DevOps, or comparable CI/CD tooling.
  • Experience with data validation, schema management, error handling, logging, and recovery.
  • Bachelor's degree in computer science, information systems, engineering, data engineering, or related discipline; equivalent experience may substitute.
Strongly Preferred
  • Azure Government, cARMY, IL4/IL5/IL6, GCC High, or comparable restricted Government environments.
  • Azure Machine Learning, Azure OpenAI, MLflow, Docker, Kubernetes, or model-serving technologies.
  • Entra ID, managed identities, Key Vault, RBAC, private endpoints, network controls, and secure secrets management.
  • GCSS-Army, SAP, ERP, Army logistics, or DoD system integration.
  • Data lineage, metadata, governance, and architecture documentation.
  • Power BI gateways, semantic models, or Power Platform integration.
  • Classified-data support experience.
About Xtreme SolutionsXSI is a leading provider of information technology and professional services known for outstanding service delivery in a wide range of professional services engagements around the country. Team XSI continually meets and exceeds customer expectations. We are passionate about our work and making a difference. Our vision is to be the best professional services management company for both our customers and our employees. We need employees that share this vision. Our remarkable employees are the key to our company's incredible success. XSI promotes a work environment of trust, integrity, respect, continual improvement, customer satisfaction, and business success. We strive to provide a competitive salary and benefits, an engaging and rewarding work environment, and training and development opportunities.
Equal Employment OpportunityXtreme Solutions, Inc. is an Equal Opportunity Employer and federal contractor. All qualified applicants will receive consideration for employment without discrimination based on any status protected by applicable federal, state, or local law.As a federal contractor, Xtreme Solutions, Inc. takes affirmative action to employ and advance in employment qualified individuals with disabilities and protected veterans. We are committed to providing equal employment opportunities throughout all aspects of employment, including recruitment, hiring, promotion, compensation, training, and other terms and conditions of employment.Equal Opportunity Employer | Individuals with Disabilities | Protected Veterans