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Remote Microsoft Data Engineer Jobs in Reston, VA

A-TEK Inc.

Senior Data Engineer

Washington, DC · On-site +1

$120K - $163K/yr

Senior Data Engineer (Cloud & Data Modernization) A-TEK is seeking a Senior Data Engineer to ... This position is remote and requires the ability to obtain and retain a public-trust clearance.

Atreides

Mission (Data) Engineer

Arlington, VA · Remote

$117K - $140K/yr

Mission (Data)Engineer Travel: Approximately 10% international travel required. Number of Openings ... Flexible remote work environment * Additional benefits like flexible hours, work travel ...

Sparibis

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Location: 100% Remote Years' Experience: 5+ years Professional Experience Education: Bachelor ... ensure high data quality. * Support AI/ML teams with optimizing feature engineering code.

GRVTY

Data Engineer with Security Clearance

Chantilly, VA · On-site +1

$118K - $142K/yr

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer)

Judge Group, Inc.

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Remote Security Clearance: DHS Suitability - contract requires U.S. Citizenship Must Have Qualifications: 5+ years of experience in Data/ML engineering (if school experience is used, at most that ...

Ariadne

NCBI Data Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Overview Ariadne is searching for a Data Engineer to support our work at the attheNational ... This opportunity is full time at the NIH in Bethesda, MD and/or remote work. Educational ...

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Remote Microsoft Data Engineer information

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$135K

$184.7K

How much do remote microsoft data engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for remote microsoft data engineer in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Microsoft Data Engineer, and why are they important?

To thrive as a Remote Microsoft Data Engineer, you need expertise in data modeling, ETL processes, and strong proficiency with SQL, along with a degree in computer science or a related field. Familiarity with Microsoft data platforms such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving, communication, and collaboration skills are crucial for remote teamwork and effective project execution. These skills ensure the development of robust data solutions, facilitate seamless collaboration, and support informed decision-making in distributed environments.

How does a Remote Microsoft Data Engineer typically collaborate with cross-functional teams to deliver data solutions?

As a Remote Microsoft Data Engineer, you will frequently collaborate with data analysts, software engineers, and business stakeholders to design, implement, and optimize data pipelines and storage solutions using Microsoft Azure and related technologies. Communication often occurs through virtual meetings, project management tools, and code repositories, making clear documentation and proactive updates essential. You may participate in sprint planning, code reviews, and troubleshooting sessions to ensure that data solutions align with business goals and technical requirements. Building strong remote working relationships and maintaining transparency are key to successful collaboration in this role.

What is a Remote Microsoft Data Engineer?

A Remote Microsoft Data Engineer is a professional who designs, builds, and manages data solutions using Microsoft technologies, such as Azure Data Factory, SQL Server, and Power BI, while working from a remote location. Their responsibilities include developing data pipelines, implementing data models, and ensuring data quality and security. They collaborate with other IT professionals and business stakeholders to enable effective data-driven decision making within an organization. Working remotely, they use online tools and platforms to communicate and complete their tasks efficiently.

What is the difference between Remote Microsoft Data Engineer vs Remote Data Analyst?

AspectRemote Microsoft Data EngineerRemote Data Analyst
Required CredentialsMicrosoft certifications, SQL, cloud platform knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentCloud-based, technical teams, data engineering projectsBusiness teams, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare using Microsoft toolsMarketing, retail, finance analyzing data trends

The Remote Microsoft Data Engineer focuses on building and maintaining data pipelines using Microsoft technologies, while the Remote Data Analyst interprets data to provide business insights. Both roles require SQL skills and often work in cloud environments, but their daily tasks and end goals differ significantly.

What are the most commonly searched types of Microsoft Data Engineer jobs in Reston, VA? The most popular types of Microsoft Data Engineer jobs in Reston, VA are:
What are popular job titles related to Remote Microsoft Data Engineer jobs in Reston, VA? For Remote Microsoft Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Remote Microsoft Data Engineer jobs in Reston, VA look for? The top searched job categories for Remote Microsoft Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Microsoft Data Engineer jobs? Cities near Reston, VA with the most Remote Microsoft Data Engineer job openings:
Remote Microsoft Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

A-TEK Inc.

Washington, DC • On-site, Remote

$120K - $163K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission!

A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape.

Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees.

Senior Data Engineer (Cloud & Data Modernization)

A-TEK is seeking a Senior Data Engineer to support enterprise data modernization, cloud-native data engineering, analytics enablement, and data governance initiatives for Federal customers. This role focuses on designing and implementing scalable data platforms, automated ETL/ELT pipelines, and modern cloud-based data solutions supporting scientific, operational, and mission-critical environments.

The ideal candidate combines strong hands-on engineering expertise with the ability to collaborate across technical and non-technical teams to modernize data ecosystems and improve enterprise data accessibility, quality, governance, and analytics capabilities.

NOAA experience is preferred. This position is remote and requires the ability to obtain and retain a public-trust clearance.

Responsibilities

  • Design, develop, and optimize enterprise data warehouses and large-scale ETL/ELT pipelines
  • Engineer cloud-native data processing solutions supporting structured, semi-structured, and unstructured data
  • Develop scalable ingestion and transformation frameworks for high-volume and real-time data processing
  • Support modernization of legacy data environments into cloud-based architectures
  • Design and implement data models, schemas, and database structures optimized for analytics and reporting
  • Develop metadata-driven automation, data quality validation, lineage tracking, and governance capabilities
  • Build and maintain reporting, analytics, and dashboarding solutions supporting operational and executive decision-making
  • Collaborate with architects, engineers, analysts, and business stakeholders to define technical requirements and implementation strategies
  • Support AI/ML and advanced analytics initiatives through scalable data engineering and MLOps-ready infrastructure
  • Implement Infrastructure-as-Code (IaC), CI/CD pipelines, and automated deployment processes
  • Perform database tuning, query optimization, and performance engineering activities
  • Support secure data management and compliance with Federal security and data governance requirements
  • Provide technical leadership, mentoring, and engineering best practices across project teams

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
  • 7+ years of experience in data engineering, data warehousing, database engineering, or related disciplines
  • Strong experience designing and implementing ETL/ELT pipelines and enterprise data warehouse solutions
  • Experience with distributed processing frameworks and cloud-native data ecosystems
  • Strong experience with data modeling, database design, and dimensional modeling techniques
  • Experience implementing data governance, metadata management, data quality, and data integrity controls
  • Proficiency with SQL and Python-based data engineering and automation
  • Experience with cloud data platforms and services in AWS, Azure, or Google Cloud
  • Experience supporting large-scale, modern data modernization initiatives
  • Strong verbal and written communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
  • Experience collaborating across cross-functional teams in Agile or DevSecOps environments

Preferred Qualifications

  • NOAA or broader Federal civilian agency experience
  • Experience supporting scientific, environmental, geospatial, or research data environments
  • Experience with GIS or geospatial data platforms
  • Experience with AI/ML data engineering or MLOps support
  • Experience with Infrastructure-as-Code and CI/CD automation
  • Familiarity with metadata management, data catalogs, and enterprise governance frameworks
  • Experience with real-time streaming or event-driven data architectures
  • AWS or Azure certifications

Preferred Technical Skills

  • SQL Server, PostgreSQL, Oracle, or cloud-native databases
  • Azure Data Factory, SSIS, Informatica, dbt, Airflow, or similar ETL frameworks
  • Azure Synapse, Databricks, Spark, Hadoop, Kafka, or distributed analytics platforms
  • Python, Pandas, NumPy, PySpark
  • Power BI, Tableau, SSRS, or enterprise analytics platforms
  • Docker, Kubernetes, Git, Azure DevOps, Jenkins, Terraform, or similar DevOps technologies
  • REST APIs and data integration services

Compensation

  • Salary Range: $160,000 – $170,000 annually (commensurate with experience, professional certifications and location)
  • Benefits: Health, dental, and vision insurance; 401(k) with employer match; paid time off; professional development opportunities.

Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process.

For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call.

Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one.

A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.