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

Data Engineer Senior

Fairfax, VA · On-site

$116K - $140K/yr

The Data Engineer Senior designs, builds, and maintains scalable data pipelines and core data ... Experience designing and operating data platforms on major cloud providers such as AWS, Azure, or ...

Senior Data Engineer

Rosslyn, VA · Hybrid

$120K - $164K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer ...

Azure Data Solutions Architect

Washington, DC · On-site

$72.25 - $93/hr

... Azure data analytics platform. * Performance Optimization: Serve as the primary expert for ... Work closely with senior management, data scientists, application developers, and business analysts ...

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 ...

Data Engineer - Senior

Herndon, VA · Remote

$110K - $170K/yr

Azure DevOps or GitHub Actions * Experience with machine learning pipelines * Knowledge of data governance frameworks * Familiarity with real-time streaming systems * Certifications in cloud ...

Data Engineer - Senior

Herndon, VA · On-site +1

$110K - $170K/yr

Azure DevOps or GitHub Actions * Experience with machine learning pipelines * Knowledge of data governance frameworks * Familiarity with real-time streaming systems * Certifications in cloud ...

Data Engineer - Senior

Hyattsville, MD · On-site +1

$110K - $170K/yr

Azure DevOps or GitHub Actions * Experience with machine learning pipelines * Knowledge of data governance frameworks * Familiarity with real-time streaming systems * Certifications in cloud ...

Data Engineer - Senior

Hyattsville, MD · Remote

$110K - $170K/yr

Azure DevOps or GitHub Actions * Experience with machine learning pipelines * Knowledge of data governance frameworks * Familiarity with real-time streaming systems * Certifications in cloud ...

Showing results 41-60

Sr Azure Data Engineer information

See Reston, VA salary details

$84.3K

$131.4K

$182.1K

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

As of Aug 11, 2026, the average yearly pay for sr azure data engineer in Reston, VA is $131,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $149,800.00 per year, depending on experience, location, and employer.

What is a Sr Azure Data Engineer?

A Sr Azure Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft Azure's cloud platform. They focus on creating scalable data pipelines, integrating data from various sources, and ensuring data quality and security. Senior Azure Data Engineers often work with technologies like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and they collaborate with data scientists and business analysts to support data-driven decision-making. Their expertise helps organizations leverage cloud-based data architectures for improved performance and scalability.

What are some typical challenges Sr Azure Data Engineers face when managing large-scale cloud data solutions?

Sr Azure Data Engineers often encounter challenges such as optimizing data pipelines for performance and cost efficiency, ensuring data security and compliance in cloud environments, and integrating diverse data sources across on-premises and cloud systems. Additionally, they may need to troubleshoot complex data flow issues and stay updated with rapidly evolving Azure services. Collaborating closely with data scientists, architects, and business stakeholders is also essential to deliver scalable, business-focused solutions.

What are the key skills and qualifications needed to thrive as a Sr Azure Data Engineer?

To excel as a Sr Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud data architectures, and a strong command of SQL and programming languages, typically complemented by a degree in computer science or a related field. Proficiency with Azure services such as Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this role. These skills ensure the efficient design, implementation, and maintenance of scalable data solutions that meet business needs.
What are popular job titles related to Sr Azure Data Engineer jobs in Reston, VA? For Sr Azure Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Sr Azure Data Engineer jobs in Reston, VA look for? The top searched job categories for Sr Azure Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Sr Azure Data Engineer jobs? Cities near Reston, VA with the most Sr Azure Data Engineer job openings:
Infographic showing various Sr Azure Data Engineer job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,426 per year, or $63.2 per hour.

Data Engineer Senior

ASM Research

Fairfax, VA • On-site

$116K - $140K/yr

Full-time

Posted 19 days ago


ASM Research rating

8.6

Company rating: 8.6 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

32nd of 223 rated it services


Job description

The Data Engineer Senior designs, builds, and maintains scalable data pipelines and core data infrastructure to ingest, process, store, and transform structured and unstructured data in a highly regulated client environment. This role develops and operates automated, end-to-end pipelines, optimizes data models and schemas, and ensures the reliability, scalability, and security of the enterprise data platform. The engineer also implements robust data quality, validation, and lineage mechanisms and collaborates with cross-functional stakeholders to align data architecture with business and mission needs while supporting continuous improvement of data engineering practices.
Key Responsibilities
  • Design and implement distributed data pipelines using frameworks such as Apache Spark, Kafka, or Flink to support high-volume, near-real-time and batch data processing across the enterprise.
  • Develop and optimize data models, schemas, and storage patterns across relational and non-relational platforms (e.g., PostgreSQL, Snowflake, S3, data lakes) to enable analytics, reporting, and downstream system integration.
  • Implement and operate ETL/ELT workflows using orchestration tools such as Apache Airflow or cloud-native services, ensuring end-to-end automation, observability, and recoverability.
  • Establish and maintain data quality validation rules, monitoring, and anomaly detection processes to protect data integrity across production pipelines.
  • Build and maintain data lineage, cataloging, and metadata management solutions to support governance, auditability, and regulatory compliance in a highly regulated environment.
  • Apply security best practices, including encryption, role-based access controls, and compliance alignment, when handling sensitive and mission-critical data.
  • Troubleshoot and resolve complex pipeline failures, performance bottlenecks, and data inconsistencies, driving root-cause analysis and long-term remediation.
  • Collaborate with data scientists, analysts, and application teams to translate analytical and integration requirements into scalable data engineering solutions and reusable data assets.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent relevant experience in data engineering or software engineering.
  • Typically 5-8 years of experience in data engineering or closely related roles, including hands-on work with distributed data processing, data modeling, and ETL/ELT implementation.
  • Demonstrated experience with modern data engineering frameworks and tools such as Apache Spark, Kafka or similar streaming platforms, and workflow orchestrators like Apache Airflow.
  • Strong proficiency with relational and non-relational data stores (e.g., PostgreSQL, cloud data warehouse platforms, object storage) and with designing schemas for analytics and integration use cases.
  • Experience implementing data quality, validation, and lineage capabilities in production environments, including monitoring and alerting for data pipeline health.
  • Ability to obtain and maintain a SECRET-level background investigation, with U.S. citizenship required to support federal client environments.
  • Solid understanding of data security principles, including encryption, access control, and secure handling of sensitive information in compliance-driven environments.

Preferred Qualifications
  • Experience designing and operating data platforms on major cloud providers such as AWS, Azure, or Google Cloud, including use of native data and analytics services.
  • Professional certification in cloud data engineering or big data technologies (e.g., AWS Data Analytics, Google Professional Data Engineer, Azure Data Engineer Associate).
  • Prior experience supporting mission-critical or highly regulated government systems where data governance, auditability, and compliance requirements are central.
  • Experience contributing to the evolution of enterprise data architectures, standards, and best practices, including documentation of data pipelines and participation in data governance forums.

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.

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