ZipRecruiter

Log In

1

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

ASM Research

Data Engineer Journeyman

Fairfax, VA · On-site

$116K - $140K/yr

Experience with one or more major cloud platforms (AWS, Azure, or Google Cloud) and their native data engineering services (e.g., AWS Glue, Azure Data Factory, BigQuery, or similar). * Familiarity ...

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 ...

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 ...

Navigant Consulting

Senior Data Engineer

Mclean, VA · On-site

$108K - $147K/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 ...

Pwc

Data Engineer - Senior Associate

Washington, DC · On-site

$77K - $202K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

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 ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY ... Migrate source data identified by SBA OIG into Azure Data Lake Storage. Normalize entity attributes ...

Node.Digital

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY ... Migrate source data identified by SBA OIG into Azure Data Lake Storage. Normalize entity attributes ...

Node.Digital

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY ... Synapse and Azure Machine Learning, using both SDK V1 and SDK V2. • Migrate source data ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY ... Synapse and Azure Machine Learning, using both SDK V1 and SDK V2. • Migrate source data ...

Node.Digital

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY ... Migrate source data identified by SBA OIG into Azure Data Lake Storage. * Normalize entity ...

Accenture LLP

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$93K - $176K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

previous page

Showing results 41-60

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Reston, VA

Azure Data Engineer information

See Reston, VA salary details

$46.4K

$135.2K

$185K

How much do azure data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for azure data engineer in Reston, VA is $135,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,300.00 and $143,300.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

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 are the key skills and qualifications needed to thrive as an Azure Data Engineer?

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 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.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $135,200 per year, or $65 per hour.

Data Engineer Journeyman

ASM Research

Fairfax, VA • On-site

$116K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

ASM Research rating

8.6

Company rating: 8.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

32nd of 224 rated it services

Job description

The Data Engineer Journeyman designs, builds, and operates scalable data pipelines and platforms that ingest, process, and store structured and unstructured data to support mission-critical use across the enterprise data environment. Leveraging modern batch and streaming frameworks, this role develops optimized data models, transformation logic, and storage solutions that enable analytics, reporting, and advanced data use cases for business and technical stakeholders. The Data Engineer Journeyman also implements data quality, lineage, and governance practices while ensuring security and compliance in a highly regulated federal data context.
This position collaborates with cross-functional teams-including data scientists, analysts, and security stakeholders-to understand data requirements, refine data workflows, and continuously improve platform reliability, performance, and resilience. The engineer troubleshoots pipeline issues, documents data architecture and pipelines, and contributes to ongoing modernization and automation of data engineering processes and tooling across the client environment.
Key Responsibilities
  • Design, develop, and maintain batch and streaming data pipelines using frameworks such as Apache Spark, Kafka, or equivalent cloud-native services to support high-volume ingestion and processing for mission-critical workloads.
  • Build and optimize data models and schemas (including star, snowflake, and normalized designs) that support analytical, reporting, and operational use cases across the enterprise.
  • Implement data validation, profiling, and monitoring capabilities to ensure high data quality, integrity, and reliability across all stages of the data pipeline lifecycle.
  • Design, deploy, and tune scalable storage platforms such as data lakes and data warehouses, employing partitioning, indexing, and compression strategies to improve performance and cost efficiency.
  • Establish and maintain metadata management and data lineage tracking using catalog and governance tools to provide transparency, auditability, and regulatory compliance for data assets.
  • Apply secure data engineering practices, including encryption, role-based access controls, and adherence to government data standards and policies in a highly regulated environment.
  • Automate CI/CD workflows for data pipelines and related infrastructure using tools such as Git, Terraform, and containerization technologies to enable repeatable, reliable deployments.
  • Troubleshoot and resolve pipeline failures, latency issues, and performance bottlenecks in distributed computing environments, driving root cause analysis and long-term remediation.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements, refine transformation logic, and ensure that data products meet analytical and operational needs.
  • Document data architectures, pipeline designs, and operational procedures, and contribute to data governance activities and continuous improvement of data engineering standards and practices.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related field, or equivalent relevant experience.
  • Typically 2-5 years of professional experience in data engineering or a closely related field, including hands-on work with data pipelines, data models, and distributed data processing.
  • Demonstrated experience building and operating batch and/or streaming data pipelines using modern frameworks (e.g., Apache Spark, Kafka) or cloud-native equivalents.
  • Experience designing and implementing relational and analytical data models, including star, snowflake, and normalized schemas, in support of reporting and analytics.
  • Practical experience implementing data quality controls, validation, and monitoring, as well as using metadata and catalog tools to manage data assets and lineage.
  • Demonstrated ability to apply secure data engineering practices, including encryption, access control, and compliance with government or enterprise security standards.
  • Ability to obtain and maintain a SECRET-level security clearance and work in a U.S.-only staffing context, with U.S. citizenship required.
  • Willingness and ability to work effectively in a remote, distributed team environment supporting federal or enterprise IT operations.

Preferred Qualifications
  • Experience with one or more major cloud platforms (AWS, Azure, or Google Cloud) and their native data engineering services (e.g., AWS Glue, Azure Data Factory, BigQuery, or similar).
  • Familiarity with data governance frameworks and regulatory compliance requirements applicable to federal or highly regulated environments.
  • Relevant data engineering or cloud certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent).
  • Experience automating CI/CD for data pipelines and infrastructure using Terraform, Git-based workflows, and containerization/orchestration technologies.

Compensation Ranges
Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.
EEO Requirements
It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.
All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.
Physical Requirements
The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.
Disclaimer
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

What ASM Research employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply