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Senior Amazon Data Engineer Jobs in Reston, VA (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Arlington, VA · On-site

$120.20K - $165.10K/yr

Share this job: Share: Share Sr Databricks Data Engineer with Facebook Share Sr Databricks Data Engineer with LinkedIn Share Sr Databricks Data Engineer with Twitter Caution against fraudulent job ...

Chenega MIOS

Data Engineer, Sr.

Reston, VA · On-site

$110.30K - $149.80K/yr

Data Engineer, Sr. Reston, VA Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is ...

Chenega MIOS

Data Engineer, Sr.

Reston, VA

$110.30K - $149.80K/yr

Data Engineer, Sr. Reston, VA Join our Talent Network Data Engineer, Sr. Reston, VA Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking ...

Deloitte

AI Data Engineer Senior Consultant

Mclean, VA · On-site

$116K - $139.30K/yr

They are seeking an AI Data Engineer Senior Consultant to build and operate the data, features, and ... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ...

Deloitte

AI and Data Science Engineer III

Mclean, VA · On-site +1

$115.70K - $139K/yr

... using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and ... AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119.10K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

SZNS Solutions LLC

Data Engineer

Reston, VA

$119.10K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

CACI International, Inc.

Sr. Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

Job Title: Sr. Data Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type ...

SZNS Solutions LLC

Data Engineer

Reston, VA · On-site

$119.10K - $143K/yr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

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Senior Amazon Data Engineer information

See Reston, VA salary details

$84.3K

$131.4K

$182.1K

How much do senior amazon data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for senior amazon 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 are the key skills and qualifications needed to thrive as a Senior Amazon Data Engineer, and why are they important?

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What are some common challenges faced by Senior Amazon Data Engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

What does a Senior Amazon Data Engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What are the most commonly searched types of Amazon Data Engineer jobs in Reston, VA? The most popular types of Amazon Data Engineer jobs in Reston, VA are:
What are popular job titles related to Senior Amazon Data Engineer jobs in Reston, VA? For Senior Amazon Data Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Senior Amazon Data Engineer jobs in Reston, VA look for? The top searched job categories for Senior Amazon Data Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Senior Amazon Data Engineer jobs? Cities near Reston, VA with the most Senior Amazon Data Engineer job openings:
Senior Amazon Data Engineer jobs near you
Infographic showing various Senior Amazon Data Engineer job openings in Reston, VA as of May 2026, with employment types broken down into 2% As Needed, 60% Full Time, 37% Part Time, and 1% Nights. Highlights an 50% Physical, and 50% Hybrid job distribution, with an average salary of $131,426 per year, or $63.2 per hour.

Senior Data Architect / Data Engineer - 26-06256

NavitasPartners

Centreville, VA

$66.75 - $89.25/hr

Other

Posted 2 days ago

Job description

Senior Data Architect / Data Engineer

Location: Washington, DC
Duration: 6 Months (Possible Extension)

Position Overview

We are seeking a highly experienced Senior Data Architect / Data Engineer to support a large-scale data modernization initiative focused on transforming legacy data environments into modern cloud-based analytical platforms.

This role will be responsible for designing, developing, and optimizing enterprise data architectures, scalable ETL/ELT pipelines, and advanced analytics infrastructure to support economic forecasting, policy research, and enterprise reporting initiatives.

The ideal candidate is a hands-on technical expert with deep experience in enterprise data engineering, cloud technologies, workflow orchestration, database architecture, and large-scale data integration. This individual will collaborate closely with research teams, data analysts, architects, and business stakeholders to improve data accessibility, scalability, governance, and operational efficiency.

Key ResponsibilitiesData Architecture & Engineering
  • Design, develop, and maintain scalable enterprise data architectures and analytical platforms
  • Build and optimize robust ETL/ELT pipelines for ingesting, transforming, and delivering structured and unstructured data
  • Develop scalable database solutions, data lakes, and enterprise data platforms
  • Create conceptual, logical, and physical data models aligned with business and research objectives
  • Implement data integration strategies across multiple on-premises and cloud-based systems
Data Pipeline Development
  • Design and automate data workflows using modern orchestration tools
  • Develop scalable data processing frameworks for high-volume datasets
  • Optimize data flows, database performance, and pipeline efficiency
  • Implement monitoring, validation, and data quality controls across all data systems
Cloud & Platform Modernization
  • Support migration of legacy systems and workflows to modern cloud platforms
  • Implement scalable cloud-native data solutions and automation frameworks
  • Collaborate on enterprise modernization and DataOps initiatives
  • Assist with CI/CD implementation and deployment automation for data platforms
Database & System Administration
  • Design and maintain relational and enterprise database structures
  • Develop backup, recovery, and access security procedures
  • Maintain metadata documentation, data dictionaries, and technical specifications
  • Ensure data integrity, governance, and compliance standards are maintained
Collaboration & Stakeholder Support
  • Partner with economists, analysts, technical teams, and business stakeholders
  • Translate complex business requirements into scalable technical solutions
  • Provide technical leadership and recommendations for future-state architecture
  • Support analytics, visualization, and reporting initiatives
Process Improvement & Innovation
  • Identify opportunities for automation and operational efficiency improvements
  • Conduct root cause analysis for data and system-related issues
  • Contribute to enterprise data architecture standards and best practices
  • Support adoption of advanced analytics and machine learning capabilities
Required QualificationsEducation
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related technical field
  • Advanced degree preferred
Experience
  • Minimum 7+ years of experience in Data Architecture, Data Engineering, or related technical roles
  • Strong hands-on experience designing enterprise data platforms and data integration solutions
  • Experience building and maintaining large-scale ETL/ELT pipelines
  • Experience with cloud migrations and modern data infrastructure implementations
Technical Skills

Strong experience with:

  • Advanced SQL development
  • Python and/or R scripting
  • Relational databases including:
    • PostgreSQL
    • Microsoft SQL Server
    • MySQL
  • Workflow orchestration tools such as:
    • Apache Airflow
    • Prefect
    • Dagster
  • Source control platforms:
    • GitHub
    • GitLab
  • Linux-based development environments
  • Data modeling and database optimization
  • Data quality and governance practices
Cloud Experience

Experience with one or more:

  • Amazon Web Services
  • Microsoft Azure
  • Snowflake
Preferred Qualifications
  • Experience working with economic, financial, or research datasets
  • Experience with time-series data and forecasting analytics
  • Experience implementing Change Data Capture (CDC) methodologies
  • Experience with NoSQL or graph database technologies
  • Experience with machine learning model deployment and maintenance
  • Experience implementing CI/CD pipelines and DataOps practices
  • Knowledge of Java, Scala, JavaScript, or Perl
  • Experience supporting enterprise analytics and visualization platforms

For more details reach at resumes@navitassols.com

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